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Feed forward (control)

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1359:. However, growth in arabinose is regulated by a feedforward loop with an AND gate which confers an approximately 20 minute time delay between the ON-step in which cAMP concentration increases when glucose is consumed and when arabinose transporters are expressed. There is no time delay with the OFF signal which occurs when glucose is present. This prevents the cell from shifting to growth on arabinose based on short term fluctuations in glucose availability. 2719: 40: 2731: 114:
with time). Sometimes pure feed-forward control without feedback is called 'ballistic', because once a control signal has been sent, it cannot be further adjusted; any corrective adjustment must be by way of a new control signal. In contrast, 'cruise control' adjusts the output in response to the load that it encounters, by a feedback mechanism.
245:. Feedforward is not typically hyphenated in scholarly publications. Meckl and Seering of MIT and Book and Dickerson of Georgia Tech began the development of the concepts of Feedforward Control in the mid-1970s. The discipline of Feedforward Controls was well defined in many scholarly papers, articles and books by the late 1980s. 295:
system for execution do not satisfy the above definition of feedforward control. Unless the system includes a means to detect a disturbance or receive an input and process that input through the mathematical model to determine the required modification to the control action, it is not true feedforward control.
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difficulty with feed-forward control is that the effects of the disturbances on the system must be accurately predicted, and there must not be any unmeasured disturbances. For instance, if a window was opened that was not being measured, the feed-forward-controlled thermostat might let the house cool down.
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are directed and signed, as they represent activation (+) or repression (-). The sign of a path in a transcription network can be obtained by multiplying the signs of the edges in the path, so a path with an odd number of negative signs is negative. There are eight possible three-node FFLs as each of
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by the feedforward control system and its driver is typically substantially lower than with other controls. Stability is enhanced such that the controlled device can be built of lower cost, lighter weight, springier materials while still being highly accurate and able to operate at high speeds. Other
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has access to a controlled auxiliary power source, which depends on the engine speed. When the steering wheel is turned, a valve is opened which allows fluid under pressure to turn the driving wheels. A sensor monitors that pressure so that the valve only opens enough to cause the correct pressure to
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is a sign-sensitive delay with no delay after the ON step but with a delay after the OFF step. This is because an ON pulse immediately activates B and C, but an OFF step does not immediately result in deactivation of C because B can still be active. This can protect the system from fluctuations that
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Some prerequisites are needed for control scheme to be reliable by pure feed-forward without feedback: the external command or controlling signal must be available, and the effect of the output of the system on the load should be known (that usually means that the load must be predictably unchanging
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The frequent observation of feed-forward loops in various biological contexts across multiple scales suggests that they have structural properties that are highly adaptive in many contexts. Several theoretical and experimental studies including those discussed here show that FFLs create a mechanism
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Incoherent feedforward loops, in which the two paths from the input to the output node have different signs result in short pulses in response to an ON signal. In this system, input A simultaneous directly increases and indirectly decreases synthesis of output node C. If the indirect path to C (via
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Additionally, feedforward loops can facilitate cellular memory. Doncic and Skotheim (2003) show this effect in the regulation in the mating of yeast, where extracellular mating pheromone induces mating behavior, including preventing cells from entering the cell cycle. The mating pheromone activates
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systems. Feedforward control requires a mathematical model of the plant (process and/or machine being controlled) and the plant's relationship to any inputs or feedback the system might receive. Neither open loop control nor teleoperator systems require the sophistication of a mathematical model of
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With feed-forward or feedforward control, the disturbances are measured and accounted for before they have time to affect the system. In the house example, a feed-forward system may measure the fact that the door is opened and automatically turn on the heater before the house can get too cold. The
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can be controlled via a type-1 coherent FFL. In diauxic growth cells growth using two carbon sources by first rapidly consuming the preferred carbon source, and then slowing growth in a lag phase before consuming the second less preferred carbon source. In E. coli, glucose is preferred over both
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and when it is not. The target joint angles are adjusted to place the payload in the desired position based on knowing the deflections in the arm from the mathematical model's interpretation of the disturbance caused by the payload. Systems that plan actions and then pass the plan to a different
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There are three types of control systems: open loop, feed-forward, and feedback. An example of a pure open loop control system is manual non-power-assisted steering of a motor car; the steering system does not have access to an auxiliary power source and does not respond to varying resistance to
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Lee, Tong Ihn; Rinaldi, Nicola J.; Robert, François; Odom, Duncan T.; Bar-Joseph, Ziv; Gerber, Georg K.; Hannett, Nancy M.; Harbison, Christopher T.; Thompson, Craig M.; Simon, Itamar; Zeitlinger, Julia; Jennings, Ezra G.; Murray, Heather L.; Gordon, D. Benjamin; Ren, Bing (25 October 2002).
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control system, which has the function of keeping the body's internal environment 'steady' or in a 'prolonged steady state of readiness.' A homeostatic control system relies mainly on feedback (especially negative), in addition to the feedforward elements of the system.
1263:. This system therefore filters out fluctuations in the on-signal and detects persistent signals. This is particularly relevant in settings with stochastically fluctuating signals. In bacteria these circuits create time delays ranging from a few minutes to a few hours. 285:
Feedforward control requires integration of the mathematical model into the control algorithm such that it is used to determine the control actions based on what is known about the state of the system being controlled. In the case of control for a lightweight, flexible
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In a feed-forward system, the control variable adjustment is not error-based. Instead it is based on knowledge about the process in the form of a mathematical model of the process and knowledge about, or measurements of, the process disturbances.
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the three arrows can be either repression or activation, which can be classified into coherent or incoherent FFLs. Coherent FFLs have the same sign for both the paths from A to C, and incoherent FFLs have different signs for the two paths.
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If the driver is included in the system, then they do provide a feedback path by observing the direction of travel and compensating for errors by turning the steering wheel. In that case you have a feedback system, and the block labeled
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the MAPK pathway, which then activates the cell-cycle inhibitor Far1 and the transcription factor Ste12, which in turn increases the synthesis of inactive Far1. In this system, the concentration of active Far1 depends on the time
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Leu, M.C., Dukovski, V. and Wang, K.K., "An Analytical and Experimental Study of the Stiffness of Robot Manipulators with Parallel Mechanisms", 1985 ASME Winter Annual Meeting PRD-Vol. 15 Robotics and Manufacturing Automation,
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Amit, Ido; Citri, Ami; Shay, Tal; Lu, Yiling; Katz, Menachem; Zhang, Fan; Tarcic, Gabi; Siwak, Doris; Lahad, John; Jacob-Hirsch, Jasmine; Amariglio, Ninette; Vaisman, Nora; Segal, Eran; Rechavi, Gideon; Alon, Uri (April 2007).
350:). Feedback regulation of the heartbeat provides further adaptiveness to the running eventualities of physical exertion. Feedforward systems are also found in biological control of other variables by many regions of animals 193:
or plant being controlled. Control based on operator input without integral processing and interpretation through a mathematical model of the system is a teleoperator system and is not considered feedforward control.
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of a function of the external mating pheromone concentration. This dependence on past levels of mating pheromone is a form of cellular memory. This system simultaneously allows for the stability and reversibility.
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Book, W.J., Maizzo Neto, 0. and Whitney, D.E., "Feedback Control of Two Beam, Two Joint Systems With Distributed Flexibility", Journal of Dynamic Systems, Measurement and Control, Vol.97, No.4, December 1975,
145:. The discipline of feedforward control as it relates to modern, CPU based automatic controls is widely discussed, but is seldom practiced due to the difficulty and expense of developing or providing for the 1664:
Alberts, T.E., Sangveraphunsiri, V. and Book, Wayne J., Optimal Control of a Flexible Manipulator Arm: Volume I, Dynamic Modeling, MHRC Technical Report, MHRC-TR-85-06, Georgia Inst, of Technology, 1985.
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A control system which has only feed-forward behavior responds to its control signal in a pre-defined way without responding to the way the system reacts; it is in contrast with a system that also has
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The benefits of feedforward control are significant and can often justify the extra cost, time and effort required to implement the technology. Control accuracy can often be improved by as much as an
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Meirovitch, L., "Modeling and control of Distributed Structures" Proc. of the Workshop on Application of Distributed System Theory to Large Space Structures, JPL/CIT, NTIS #N83- 36064, July 1, 1983.
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Book, W.J., "Recursive Lagrangian Dynamics of Flexible Manipulator Arms Via Transformation Matrices", Carnegie-Mellon University Robotics Institute Technical Report, CMU-RI-TR-8323, Dec. 1983.
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Oosting, K.W., Simulation of Control Strategies for a Two Degree-of-Freedom Lightweight Flexible Robotic Arm, Thesis, Georgia Institute of Technology, Dept. of Mechanical Engineering, 1987.
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are generally writing about theories of how human or animal brains work. Black also has US patent 2102671 invented 2 August 1927 on the technique of feedback applied to electronic systems.
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Alberts, T.E., Augmenting the Control of A Flexible Manipulator with Passive Mechanical Damping, PhD. Thesis, Georgia Institute of Technology, Dept. of Mechanical Engineering, August 1986.
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Hollars, M. G., Uhlik, C. R., and Cannon, R. H., "Comparison of Decoupled and Exact Computed Torque Control for Robots with Elastic Joints", Advance copy submitted for publication, 1987.
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Nemir, D. C, Koivo, A. J., and Kashyap, R. L., "Pseudolinks and the Self-Tuning Control of a Nonrigid Link Mechanism", Purdue University, Advance copy submitted for publication, 1987.
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that passes a controlling signal from a source in its external environment to a load elsewhere in its external environment. This is often a command signal from an external operator.
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uses on a feedback loop to control the operation of the system. In an open system, the output of the system is not fed back into the input to the system for control or operation.
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reach the wheel turning mechanism. This is feed-forward control where the output of the system, the change in direction of travel of the vehicle, plays no part in the system. See
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Schmitz, E., "Experiments on the End-point Position Control of a Very Flexible One Link.Manipulator", Ph.D. Dissertation,-Stanford Univ., Dept. of Aero & Astro., June 1985.
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Book, W.J., "Analysis of Massless Elastic Chains With Servo Controlled Joints", Journal of Dynamic Systems, Measurement and Control, Vol.101, September 1979, pp. 187–192.
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Feed-forward loops (FFLs), a three-node graph of the form A affects B and C and B affects C, are frequently observed in transcription networks in several organisms including
1355:. The absence of glucose is represented via a small molecule cAMP. Diauxic growth in glucose and lactose is regulated by a simple regulatory system involving cAMP and the 1095: 1068: 727: 700: 1755:
Hastings, G.G., Controlling Flexible Manipulators, An Experimental Investigation, Ph.D. Dissertation, Dept. of Mech. Eng., Georgia Institute of Technology, August, 1986.
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Cannon, R. H. and Schmitz, E., "Initial Experiments on the End- Point Control of a Flexible One Link Robot", International Journal of Robotics Research, November 1983.
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Zalucky, A. and Hardt, D.E., "Active Control of Robot Structure Deflections", J. of Dynamic Systems, Measurement and Control, Vol. 106, March 1984, pp. 63–69.
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result in the transient loss of the ON signal and can also provide a form of memory. Kalir, Mangan, and Alon, 2005 show that the regulatory system for flagella in
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Sangveraphunsiri, V., The Optimal Control and Design of a Flexible Manipulator Arm, Ph.D. Dissertation, Dept. of Mech. Eng., Georgia Inst, of Tech., 1984. 1985.
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MacKay, D. M. (1966): "Cerebral organization and the conscious control of action". In: J. C. Eccles (Ed.), Brain and conscious experience, Springer, pp. 422–440
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Meckl, P.H. and Seering, W.P., "Feedforward Control Techniques Achieve Fast Settling Time in Robots", Automatic Control Conference Proceedings. 1986, pp 58–64.
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for biological systems to process and store information, which is important for predictive behavior and survival in complex dynamically changing environments.
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Hughes, P.C., "Dynamics of a Flexible Manipulator Arm for the Space Shuttle", AAS/AIAA Astrodynamics Conference, September 1977, Jackson Lake Lodge, Wyoming.
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B) is slower than the direct path a pulse of output is produced in the time period before levels of B are high enough to inhibit synthesis of C. Response to
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or it may be learned by the control system. Control systems capable of learning and/or adapting their mathematical model have become more practical as
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benefits of feedforward control include reduced wear and tear on equipment, lower maintenance costs, higher reliability and a substantial reduction in
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Widmann, G. R. and Ahmad, S., "Control of Industrial Robots with Flexible Joints", Purdue University, Advance copy submitted for publication, 1987.
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as early as 1956. While MacKay's work is in the field of biological control theory, he speaks only of feedforward systems. MacKay does not mention
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Sakawa, Y., Matsuno, F. and Fukushima, S., "Modeling and Feedback Control of a Flexible Arm", Journal of Robotic Systems. August 1985, pp 453–472.
1591: 501: 342:, feed-forward control is exemplified by the normal anticipatory regulation of heartbeat in advance of actual physical exertion by the central 2311:
Book, W.J. and Cetinkunt, S., "Optimum Control of Flexible Robot Arms OR Fixed Paths", IEEE Conference on Decision and Control. December 1985.
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Greene, P. H. (1969): "Seeking mathematical models of skilled actions". In: H. C. Muffley/D. Bootzin (Eds.), Biomechanics, Plenum, pp. 149–180
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Asada, H., Youcef-Toumi, K. and Ramirez, R.B., "Designing of the MIT Direct Drive Arm", Int. Symp. on Design and Synthesis, Japan, July 1984.
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S. Mangan A. Zaslaver & U. Alon, "The coherent feed-forward loop serves as a sign-sensitive delay element in transcription networks",
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transcription networks have been extensively studied, FFLs occur approximately three times more frequently than expected based on random (
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The mathematical model of the plant (machine, process or organism) used by the feedforward control system may be created and input by a
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The temporal dynamics of FFLs show that coherent FFLs can be sign-sensitive delays that filter input into the circuit. We consider the
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Oosting, K.W. and Dickerson, S.L., "Control of a Lightweight Robot Arm", 1986, IEEE International Conference on Industrial Automation
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Balas, M.J., "Feedback Control of Flexible Systems", IEEE Trans. on Automatic Control, Vol.AC-23, No.4, Aug. 1978, pp. 673–679.
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of the plant (body) can be considered to be mathematical as the model is characterized by limits, rhythms, mechanics and patterns.
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Hughes, P.C., "Dynamics of a Chain of Flexible Bodies", Journal of Astronautical Sciences, 27,4, Oct.-Dec. 1979, pp. 359–380.
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speeds have increased. The discipline of modern feedforward control was itself made possible by the invention of microprocessors.
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Maizza-Neto, 0., Modal Analysis and Control of Flexible Manipulator Arms, PhD. Thesis-, MIT, Dept. of Mech. Eng., September 1974.
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if the mathematical model is of sufficient quality and implementation of the feedforward control law is well thought out.
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turning of the direction wheels; the driver must make that response without help from the steering system. In comparison,
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Martin, G.D., On the Control of Flexible Mechanical Systems, Ph.D. Dissertation, Stanford Univ., Dept. of E.E., May 1978.
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Book, W.J., Modeling, Design and Control of Flexible Manipulator Arms, PhD. Thesis, MIT, Dept. of Mech. Eng., April 1974.
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Truckenbrodt, A., "Modeling and Control of Flexible Manipulator Structures", 4th CISM-IFToMM Symp., Warszawa, 1981.
2767: 1414:. The connections are set up during a training phase, which in effect is when the system is a feedback system. 2735: 2667: 316: 1427: 291: 2330:
Rameriz, R.B., Design of a High Speed Graphite Composite Robot Arm, M.S. Thesis, M.E. Dept., MIT, Feb. 1984.
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required to facilitate this type of control. Open-loop control and feedback control, often based on canned
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Balas, M.J., "Active Control of Flexible Systems", J. of Optim. Th. and App., Vol.25, No.3, July 1978,
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Oosting, K.W. and Dickerson, S.L., "Low-Cost, High Speed Automated Inspection", 1991, Industry Report
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Oosting, K.W. and Dickerson, S.L., "Low-Cost, High Speed Automated Inspection", 1991, Industry Report
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Book, W.J.; Cetinkunt, S. (December 1985). "Optimum Control of Flexible Robot Arms OR Fixed Paths".
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The method is rather a new technique that changes the phase of an open-loop transfer function of a
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Milo, R.; Shen-Orr, S.; Itzkovitz, S.; Kashtan, N.; Chklovskii, D.; Alon, U. (25 October 2002).
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and then applies an additional input to minimize the effect of the disturbance. This requires a
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Feedforward control is a discipline within the field of automatic controls used in automation.
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In other words, systems of different types can be nested, and the overall system regarded as a
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Oosting, K.W., "Actuated Feedforward Controlled Solar Tracking System", 2009, Patent Pending
1101:. In this case the FFL creates a time-delay between a sustained on-signal, i.e. increase in 2580: 2513: 2493: 2488: 1973: 1907: 1895: 1844: 1514: 1036:{\displaystyle \beta _{C}(A,B)=\beta _{C}\theta _{A}(A>k_{AC})\theta _{A}(B>k_{ABC})} 1506: 8: 2772: 2647: 2585: 2535: 892: 866: 275: 238: 80: 2570: 1977: 1911: 1848: 346:. Feed-forward control can be likened to learned anticipatory responses to known cues ( 266:. Feedforward control is often combined with feedback control to optimize performance. 2610: 2540: 2508: 2483: 2385:
Oosting, K.W. and Dickerson, S.L., "Feed Forward Control for Stabilization", 1987, ASME
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Oosting, K.W. and Dickerson, S.L., "Feed Forward Control for Stabilization", 1987, ASME
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is found in works by Harold S. Black in US patent 1686792 (invented 17 March 1923) and
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Oosting, K.W., "Feedforward Control System for a Solar Tracker", 2009, Patent Pending
2273:"Tip Position Control of Single Flexible Links via Parallel Feedforward Compensation" 2245: 2237: 2197: 2179: 2140: 2132: 2093: 2075: 2034: 2009: 1991: 1931: 1923: 1868: 1860: 1564: 1518: 1407: 1267: 347: 142: 47: 2257: 2697: 2692: 2605: 2229: 2187: 2171: 2124: 2083: 2067: 1999: 1981: 1943: 1915: 1880: 1852: 1510: 382: 290:, this could be as simple as compensating between when the robot arm is carrying a 55: 2662: 2565: 2560: 2175: 2028: 1919: 1476: 190: 2682: 2555: 2550: 2498: 1707: 1339: 1338:
For instance, the regulation of the shift from one carbon source to another in
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Oosting, K.W., "Smart Solar Tracking", July, 2010, InterSolar NA Presentation
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Oosting, K.W.; Dickerson, S.L. (1986). "Control of a Lightweight Robot Arm".
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Control paradigm in which errors are measured before they can affect a system
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An Introduction to Systems Biology: Design Principles of Biological Circuits
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of the system so that the effect of disturbances can be properly predicted.
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Feedforward control is distinctly different from open loop control and
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In the early 1970s, intercity coaxial transmission systems, including
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in dividing mammalian cells is an example of a Type-1 incoherent FFL.
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Even in the case of biological feedforward systems, such as in the
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for a Type-I coherent FFL, where all the arrows are positive:
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was largely developed by professors and graduate students at
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Kalir, Shiraz; Mangan, Shmoolik; Alon, Uri (29 March 2005).
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The term has specific meaning within the field of CPU-based
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are rate constants representing degradation or dilution of
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Parallel feed-forward compensation with derivative (PFCD)
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immediately results in a decrease in the production term
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Mangan, S.; Zaslaver, A.; Alon, U. (21 November 2003).
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IEEE International Conference on Industrial Automation
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is regulated with a Type 1 coherent feedforward loop.
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(14 October 2003). 1648: 1646: 1644: 1642: 1507:"A Dictionary of Mechanical Engineering" 38: 1814: 1805: 1793: 1758: 1730:. Ben Gurion University. Archived from 1700: 1688: 1618:IEEE Conference on Decision and Control 1505:Escudier, Marcel; Atkins, Tony (2019). 174:in Figure(c) is a feed-forward system. 153:algorithms, are much more widely used. 14: 2750: 1749: 1679: 1667: 1655: 1558: 1402:network in which the outputs from all 315:to control its output. In contrast, a 2405: 2306:Contemporary Perspectives on Rhetoric 2270: 1955: 1953: 1639: 334:Neural top–down control of physiology 91:to detect disturbances affecting the 2730: 2026: 1515:10.1093/acref/9780198832102.001.0001 1398:, feed-forward normally refers to a 72:) is an element or pathway within a 1577: 24: 2290: 1950: 1406:go to following but not preceding 202:Historically, the use of the term 25: 2784: 2431: 1384:Feed-forward systems in computing 856:{\displaystyle \beta _{C}(A,B)=0} 328:Physiological feed-forward system 43:The three types of control system 2729: 2718: 2717: 1585:"Fundamentals of Motion Control" 1161:must first induce production of 1141:. This is because production of 377:Gene regulation and feed-forward 2474:Central pattern generator (CPG) 2308:(3rd ed.). Waveland Press, Inc. 2264: 2208: 2151: 2104: 2047: 2020: 1887: 1823: 1767: 1717: 1256:{\displaystyle \beta _{C}(A,B)} 804:{\displaystyle \beta _{C}(A,B)} 322: 214:or allude to the discipline of 2668:Frog hearing and communication 1624: 1609: 1552: 1498: 1489: 1442:Automation and machine control 1250: 1238: 1030: 1005: 992: 970: 944: 932: 844: 832: 798: 786: 550: 538: 468: 462: 298: 117:These systems could relate to 87:is a control system that uses 56:Feedback (closed loop) control 13: 1: 1712:Springer Handbook of Robotics 1482: 1374:epidermal growth factor (EGF) 675:representing production, and 2176:10.1016/j.molcel.2013.04.014 2117:Journal of Molecular Biology 1920:10.1126/science.298.5594.824 635:are increasing functions in 18:Open system (control theory) 7: 1465: 1121:and the output increase in 1090:{\displaystyle \theta _{B}} 1063:{\displaystyle \theta _{A}} 722:{\displaystyle \gamma _{z}} 695:{\displaystyle \gamma _{Y}} 248: 132: 10: 2789: 2763:Artificial neural networks 2673:Infrared sensing in snakes 2658:Jamming avoidance response 1561:Basic Dynamics and Control 1387: 628:{\displaystyle \beta _{z}} 601:{\displaystyle \beta _{y}} 331: 197: 85:feedforward control system 29: 2713: 2640: 2619: 2523: 2439: 2129:10.1016/j.jmb.2003.09.049 2060:Molecular Systems Biology 2027:Alon, Uri (7 July 2006). 2678:Caridoid escape reaction 1714:, Springer-Verlag, 2008. 269: 164:Model predictive control 2531:Theodore Holmes Bullock 1987:10.1073/pnas.2133841100 1857:10.1126/science.1075090 1495:Based on Hopgood (2002) 1418:Long distance telephony 1290:is activated by either 2768:Neuroethology concepts 2688:Surface wave detection 1540:Cite journal requires 1324: 1304: 1284: 1257: 1215: 1195: 1175: 1155: 1135: 1115: 1091: 1064: 1037: 909: 883: 857: 805: 763: 743: 723: 696: 669: 649: 629: 602: 573: 491: 418:differential equations 410:transcription networks 61: 2504:Anti-Hebbian learning 1725:"Feedforward control" 1590:. ISA. Archived from 1325: 1305: 1285: 1258: 1216: 1196: 1176: 1156: 1136: 1116: 1092: 1065: 1038: 910: 884: 858: 806: 764: 744: 724: 697: 670: 650: 630: 603: 574: 492: 42: 2581:Bernhard Hassenstein 2514:Ultrasound avoidance 2489:Fixed action pattern 2452:Coincidence detector 2299:J. Molecular Biology 1706:Bruno Siciliano and 1597:on 27 September 2011 1314: 1294: 1274: 1225: 1205: 1185: 1165: 1145: 1125: 1105: 1074: 1047: 919: 893: 867: 819: 773: 753: 733: 706: 679: 659: 639: 612: 585: 502: 426: 227:feedforward controls 216:feedforward controls 30:For other uses, see 2648:Animal echolocation 2586:Werner E. Reichardt 2536:Walter Heiligenberg 2301:334:197-204 (2003). 1978:2003PNAS..10011980M 1972:(21): 11980–11985. 1912:2002Sci...298..824M 1849:2002Sci...298..799L 1737:on 27 November 2020 1559:Haugen, F. (2009). 908:{\displaystyle B=0} 882:{\displaystyle A=0} 212:feedforward control 81:control engineering 68:(sometimes written 2611:Fernando Nottebohm 2509:Sound localization 2484:Lateral inhibition 2271:Noury, K. (2019). 2072:10.1038/msb4100010 1410:, so there are no 1320: 1300: 1280: 1253: 1211: 1191: 1171: 1151: 1131: 1111: 1087: 1060: 1033: 915:, for instance if 905: 879: 853: 801: 759: 739: 719: 692: 665: 645: 625: 598: 569: 487: 259:Energy consumption 255:order of magnitude 225:The discipline of 147:mathematical model 97:mathematical model 62: 2745: 2744: 2632:Slice preparation 2494:Krogh's Principle 2469:Feature detection 2340:pp. 424–430. 2040:978-1-58488-642-6 1906:(5594): 824–827. 1843:(5594): 799–804. 1570:978-82-91748-13-9 1524:978-0-19-883210-2 1456:non-minimum phase 1323:{\displaystyle B} 1303:{\displaystyle A} 1283:{\displaystyle C} 1268:inclusive-OR gate 1214:{\displaystyle A} 1194:{\displaystyle C} 1174:{\displaystyle B} 1154:{\displaystyle A} 1134:{\displaystyle C} 1114:{\displaystyle A} 811:can represent an 762:{\displaystyle C} 742:{\displaystyle B} 668:{\displaystyle B} 648:{\displaystyle A} 523: 447: 361:, knowledge or a 348:predictive coding 344:autonomic network 143:automatic control 48:Open-loop control 16:(Redirected from 2780: 2733: 2732: 2721: 2720: 2698:Mechanoreception 2693:Electroreception 2606:Masakazu Konishi 2571:Jörg-Peter Ewert 2426: 2419: 2412: 2403: 2402: 2324:pp. 137–144 2284: 2283: 2277: 2268: 2262: 2261: 2212: 2206: 2205: 2195: 2155: 2149: 2148: 2108: 2102: 2101: 2091: 2051: 2045: 2044: 2024: 2018: 2017: 2007: 1989: 1957: 1948: 1947: 1891: 1885: 1884: 1827: 1821: 1818: 1812: 1809: 1803: 1800: 1791: 1790: 1788: 1786: 1781:on 16 March 2012 1771: 1765: 1762: 1756: 1753: 1747: 1746: 1744: 1742: 1736: 1729: 1721: 1715: 1704: 1698: 1695: 1686: 1683: 1677: 1674: 1665: 1662: 1653: 1650: 1637: 1636: 1628: 1622: 1621: 1613: 1607: 1606: 1604: 1602: 1596: 1589: 1581: 1575: 1574: 1556: 1550: 1549: 1543: 1538: 1536: 1528: 1502: 1496: 1493: 1329: 1327: 1326: 1321: 1309: 1307: 1306: 1301: 1289: 1287: 1286: 1281: 1262: 1260: 1259: 1254: 1237: 1236: 1220: 1218: 1217: 1212: 1200: 1198: 1197: 1192: 1180: 1178: 1177: 1172: 1160: 1158: 1157: 1152: 1140: 1138: 1137: 1132: 1120: 1118: 1117: 1112: 1096: 1094: 1093: 1088: 1086: 1085: 1069: 1067: 1066: 1061: 1059: 1058: 1042: 1040: 1039: 1034: 1029: 1028: 1004: 1003: 991: 990: 969: 968: 959: 958: 931: 930: 914: 912: 911: 906: 888: 886: 885: 880: 862: 860: 859: 854: 831: 830: 810: 808: 807: 802: 785: 784: 768: 766: 765: 760: 748: 746: 745: 740: 728: 726: 725: 720: 718: 717: 701: 699: 698: 693: 691: 690: 674: 672: 671: 666: 654: 652: 651: 646: 634: 632: 631: 626: 624: 623: 607: 605: 604: 599: 597: 596: 578: 576: 575: 570: 565: 564: 537: 536: 524: 522: 514: 506: 496: 494: 493: 488: 483: 482: 461: 460: 448: 446: 438: 430: 276:control engineer 21: 2788: 2787: 2783: 2782: 2781: 2779: 2778: 2777: 2748: 2747: 2746: 2741: 2709: 2663:Vision in toads 2636: 2615: 2566:Erich von Holst 2561:Karl von Frisch 2519: 2435: 2430: 2400: 2293: 2291:Further reading 2288: 2287: 2275: 2269: 2265: 2222:Nature Genetics 2213: 2209: 2156: 2152: 2109: 2105: 2052: 2048: 2041: 2025: 2021: 1958: 1951: 1892: 1888: 1828: 1824: 1819: 1815: 1810: 1806: 1801: 1794: 1784: 1782: 1773: 1772: 1768: 1763: 1759: 1754: 1750: 1740: 1738: 1734: 1727: 1723: 1722: 1718: 1705: 1701: 1696: 1689: 1684: 1680: 1675: 1668: 1663: 1656: 1651: 1640: 1629: 1625: 1614: 1610: 1600: 1598: 1594: 1587: 1583: 1582: 1578: 1571: 1557: 1553: 1541: 1539: 1530: 1529: 1525: 1503: 1499: 1494: 1490: 1485: 1477:Smith predictor 1468: 1452: 1444: 1420: 1392: 1386: 1315: 1312: 1311: 1295: 1292: 1291: 1275: 1272: 1271: 1232: 1228: 1226: 1223: 1222: 1206: 1203: 1202: 1186: 1183: 1182: 1166: 1163: 1162: 1146: 1143: 1142: 1126: 1123: 1122: 1106: 1103: 1102: 1081: 1077: 1075: 1072: 1071: 1054: 1050: 1048: 1045: 1044: 1018: 1014: 999: 995: 983: 979: 964: 960: 954: 950: 926: 922: 920: 917: 916: 894: 891: 890: 868: 865: 864: 826: 822: 820: 817: 816: 780: 776: 774: 771: 770: 754: 751: 750: 734: 731: 730: 713: 709: 707: 704: 703: 686: 682: 680: 677: 676: 660: 657: 656: 640: 637: 636: 619: 615: 613: 610: 609: 592: 588: 586: 583: 582: 560: 556: 532: 528: 515: 507: 505: 503: 500: 499: 478: 474: 456: 452: 439: 431: 429: 427: 424: 423: 379: 336: 330: 325: 301: 272: 251: 243:Carnegie Mellon 200: 191:physical system 135: 60: 35: 28: 23: 22: 15: 12: 11: 5: 2786: 2776: 2775: 2770: 2765: 2760: 2758:Control theory 2743: 2742: 2740: 2739: 2727: 2714: 2711: 2710: 2708: 2707: 2706: 2705: 2695: 2690: 2685: 2683:Vocal learning 2680: 2675: 2670: 2665: 2660: 2655: 2650: 2644: 2642: 2638: 2637: 2635: 2634: 2629: 2623: 2621: 2617: 2616: 2614: 2613: 2608: 2603: 2598: 2593: 2588: 2583: 2578: 2573: 2568: 2563: 2558: 2556:Donald Kennedy 2553: 2551:Donald Griffin 2548: 2543: 2541:Niko Tinbergen 2538: 2533: 2527: 2525: 2521: 2520: 2518: 2517: 2511: 2506: 2501: 2499:Hebbian theory 2496: 2491: 2486: 2481: 2476: 2471: 2466: 2461: 2454: 2449: 2443: 2441: 2437: 2436: 2429: 2428: 2421: 2414: 2406: 2399: 2398: 2395: 2392: 2389: 2386: 2383: 2380: 2377: 2374: 2371: 2368: 2365: 2362: 2359: 2356: 2353: 2350: 2347: 2344: 2341: 2337: 2334: 2331: 2328: 2325: 2321: 2318: 2315: 2312: 2309: 2302: 2294: 2292: 2289: 2286: 2285: 2263: 2234:10.1038/ng1987 2228:(4): 503–512. 2207: 2170:(6): 856–868. 2164:Molecular Cell 2150: 2123:(2): 197–204. 2103: 2046: 2039: 2019: 1949: 1886: 1822: 1813: 1804: 1792: 1766: 1757: 1748: 1716: 1708:Oussama Khatib 1699: 1687: 1678: 1666: 1654: 1638: 1623: 1608: 1576: 1569: 1551: 1542:|journal= 1523: 1497: 1487: 1486: 1484: 1481: 1480: 1479: 1474: 1467: 1464: 1451: 1448: 1443: 1440: 1419: 1416: 1412:feedback loops 1388:Main article: 1385: 1382: 1340:diauxic growth 1319: 1299: 1279: 1266:Similarly, an 1252: 1249: 1246: 1243: 1240: 1235: 1231: 1210: 1190: 1170: 1150: 1130: 1110: 1099:step functions 1084: 1080: 1057: 1053: 1032: 1027: 1024: 1021: 1017: 1013: 1010: 1007: 1002: 998: 994: 989: 986: 982: 978: 975: 972: 967: 963: 957: 953: 949: 946: 943: 940: 937: 934: 929: 925: 904: 901: 898: 878: 875: 872: 852: 849: 846: 843: 840: 837: 834: 829: 825: 800: 797: 794: 791: 788: 783: 779: 769:respectively. 758: 738: 716: 712: 689: 685: 664: 644: 622: 618: 595: 591: 568: 563: 559: 555: 552: 549: 546: 543: 540: 535: 531: 527: 521: 518: 513: 510: 486: 481: 477: 473: 470: 467: 464: 459: 455: 451: 445: 442: 437: 434: 378: 375: 332:Main article: 329: 326: 324: 321: 305:systems theory 300: 297: 280:microprocessor 271: 268: 250: 247: 199: 196: 159:power steering 134: 131: 119:control theory 74:control system 59: 58: 53: 50: 44: 26: 9: 6: 4: 3: 2: 2785: 2774: 2771: 2769: 2766: 2764: 2761: 2759: 2756: 2755: 2753: 2738: 2737: 2728: 2726: 2725: 2716: 2715: 2712: 2704: 2701: 2700: 2699: 2696: 2694: 2691: 2689: 2686: 2684: 2681: 2679: 2676: 2674: 2671: 2669: 2666: 2664: 2661: 2659: 2656: 2654: 2651: 2649: 2646: 2645: 2643: 2639: 2633: 2630: 2628: 2625: 2624: 2622: 2618: 2612: 2609: 2607: 2604: 2602: 2599: 2597: 2594: 2592: 2589: 2587: 2584: 2582: 2579: 2577: 2574: 2572: 2569: 2567: 2564: 2562: 2559: 2557: 2554: 2552: 2549: 2547: 2546:Konrad Lorenz 2544: 2542: 2539: 2537: 2534: 2532: 2529: 2528: 2526: 2522: 2515: 2512: 2510: 2507: 2505: 2502: 2500: 2497: 2495: 2492: 2490: 2487: 2485: 2482: 2480: 2479:NMDA receptor 2477: 2475: 2472: 2470: 2467: 2465: 2462: 2460: 2459: 2455: 2453: 2450: 2448: 2445: 2444: 2442: 2438: 2434: 2433:Neuroethology 2427: 2422: 2420: 2415: 2413: 2408: 2407: 2404: 2396: 2393: 2390: 2387: 2384: 2381: 2378: 2375: 2372: 2369: 2366: 2363: 2360: 2357: 2354: 2351: 2348: 2345: 2342: 2338: 2335: 2332: 2329: 2326: 2322: 2319: 2316: 2313: 2310: 2307: 2303: 2300: 2296: 2295: 2281: 2274: 2267: 2259: 2255: 2251: 2247: 2243: 2239: 2235: 2231: 2227: 2223: 2219: 2211: 2203: 2199: 2194: 2189: 2185: 2181: 2177: 2173: 2169: 2165: 2161: 2154: 2146: 2142: 2138: 2134: 2130: 2126: 2122: 2118: 2114: 2107: 2099: 2095: 2090: 2085: 2081: 2077: 2073: 2069: 2066:: 2005.0006. 2065: 2061: 2057: 2050: 2042: 2036: 2033:. CRC Press. 2032: 2031: 2023: 2015: 2011: 2006: 2001: 1997: 1993: 1988: 1983: 1979: 1975: 1971: 1967: 1963: 1956: 1954: 1945: 1941: 1937: 1933: 1929: 1925: 1921: 1917: 1913: 1909: 1905: 1901: 1897: 1890: 1882: 1878: 1874: 1870: 1866: 1862: 1858: 1854: 1850: 1846: 1842: 1838: 1834: 1826: 1817: 1808: 1799: 1797: 1780: 1776: 1770: 1761: 1752: 1733: 1726: 1720: 1713: 1709: 1703: 1694: 1692: 1682: 1673: 1671: 1661: 1659: 1649: 1647: 1645: 1643: 1634: 1627: 1619: 1612: 1593: 1586: 1580: 1572: 1566: 1562: 1555: 1547: 1534: 1526: 1520: 1516: 1512: 1508: 1501: 1492: 1488: 1478: 1475: 1473: 1470: 1469: 1463: 1461: 1460:minimum phase 1457: 1447: 1439: 1437: 1436:Optical fiber 1433: 1430:than earlier 1429: 1425: 1415: 1413: 1409: 1405: 1401: 1397: 1391: 1381: 1377: 1375: 1369: 1366: 1360: 1358: 1354: 1350: 1345: 1341: 1336: 1334: 1317: 1297: 1277: 1269: 1264: 1247: 1244: 1241: 1233: 1229: 1208: 1188: 1168: 1148: 1128: 1108: 1100: 1082: 1078: 1055: 1051: 1025: 1022: 1019: 1015: 1011: 1008: 1000: 996: 987: 984: 980: 976: 973: 965: 961: 955: 951: 947: 941: 938: 935: 927: 923: 902: 899: 896: 876: 873: 870: 850: 847: 841: 838: 835: 827: 823: 814: 795: 792: 789: 781: 777: 756: 736: 714: 710: 687: 683: 662: 642: 620: 616: 593: 589: 579: 566: 561: 557: 553: 547: 544: 541: 533: 529: 525: 519: 516: 511: 508: 497: 484: 479: 475: 471: 465: 457: 453: 449: 443: 440: 435: 432: 421: 419: 414: 411: 406: 404: 400: 399:S. cerevisiae 396: 392: 391: 390:S. cerevisiae 386: 385: 374: 371: 366: 364: 360: 355: 353: 349: 345: 341: 335: 320: 318: 317:closed system 314: 313:feedback loop 310: 306: 296: 293: 289: 283: 281: 277: 267: 265: 260: 256: 246: 244: 240: 236: 232: 228: 223: 221: 217: 213: 209: 205: 195: 192: 187: 182: 180: 175: 173: 167: 165: 160: 154: 152: 148: 144: 139: 130: 128: 124: 120: 115: 111: 107: 105: 100: 98: 94: 90: 86: 82: 77: 75: 71: 67: 57: 54: 51: 49: 46: 45: 41: 37: 33: 19: 2734: 2722: 2703:Lateral line 2653:Waggle dance 2591:Eric Knudsen 2456: 2446: 2305: 2298: 2279: 2266: 2225: 2221: 2210: 2167: 2163: 2153: 2120: 2116: 2106: 2063: 2059: 2049: 2029: 2022: 1969: 1965: 1903: 1899: 1889: 1840: 1836: 1825: 1816: 1807: 1783:. Retrieved 1779:the original 1769: 1760: 1751: 1739:. Retrieved 1732:the original 1719: 1711: 1702: 1681: 1632: 1626: 1617: 1611: 1599:. Retrieved 1592:the original 1579: 1560: 1554: 1533:cite journal 1500: 1491: 1458:system into 1453: 1445: 1421: 1393: 1378: 1370: 1361: 1343: 1337: 1332: 1265: 580: 498: 422: 415: 407: 405:) networks. 398: 394: 389: 383: 380: 367: 363:mental model 356: 337: 323:Applications 308: 302: 284: 273: 252: 231:Georgia Tech 226: 224: 219: 215: 211: 208:D. M. MacKay 203: 201: 186:teleoperator 183: 176: 171: 168: 155: 140: 136: 116: 112: 108: 101: 84: 78: 69: 66:feed forward 65: 63: 52:Feed-forward 36: 2627:Patch clamp 2596:Eric Kandel 2576:Franz Huber 2447:Feedforward 1785:24 February 1741:23 February 1601:23 February 403:Erdös-Rényi 370:homeostatic 359:human brain 309:open system 299:Open system 288:robotic arm 220:feedforward 204:feedforward 151:PID control 70:feedforward 32:Feedforward 2773:Automation 2752:Categories 2601:Nobuo Suga 2516:in insects 1483:References 1434:systems. 1400:perceptron 1390:Perceptron 1357:lac operon 863:if either 340:physiology 264:hysteresis 123:physiology 2242:1061-4036 2184:1097-2765 2137:0022-2836 2080:1744-4292 1996:0027-8424 1928:0036-8075 1865:0036-8075 1472:Black box 1428:bandwidth 1424:L-carrier 1396:computing 1349:arabinose 1270:in which 1230:β 1079:θ 1052:θ 997:θ 962:θ 952:β 924:β 824:β 778:β 711:γ 684:γ 617:β 590:β 558:γ 554:− 530:β 517:δ 509:δ 476:γ 472:− 454:β 441:δ 433:δ 408:Edges in 179:black-box 127:computing 2724:Category 2464:Instinct 2440:Concepts 2258:16706055 2250:17322878 2202:23685071 2145:14607112 2098:16729041 2014:14530388 1936:12399590 1873:12399584 1466:See also 1432:feedback 1365:integral 813:AND gate 249:Benefits 239:Stanford 133:Overview 104:feedback 2736:Commons 2641:Systems 2620:Methods 2193:3696412 2089:1681456 1974:Bibcode 1944:9884096 1908:Bibcode 1900:Science 1881:4841222 1845:Bibcode 1837:Science 1404:neurons 1353:lactose 1344:E. coli 1333:E. coli 395:E. coli 384:E. coli 292:payload 198:History 89:sensors 2524:People 2458:Umwelt 2256:  2248:  2240:  2200:  2190:  2182:  2143:  2135:  2096:  2086:  2078:  2037:  2012:  2005:218699 2002:  1994:  1942:  1934:  1926:  1879:  1871:  1863:  1567:  1521:  1408:layers 1043:where 815:where 581:Where 352:brains 172:System 93:system 2276:(PDF) 2254:S2CID 1940:S2CID 1877:S2CID 1735:(PDF) 1728:(PDF) 1595:(PDF) 1588:(PDF) 307:, an 270:Model 125:, or 2280:ASME 2246:PMID 2238:ISSN 2198:PMID 2180:ISSN 2141:PMID 2133:ISSN 2094:PMID 2076:ISSN 2035:ISBN 2010:PMID 1992:ISSN 1932:PMID 1924:ISSN 1869:PMID 1861:ISSN 1787:2013 1743:2013 1603:2013 1565:ISBN 1546:help 1519:ISBN 1351:and 1097:are 1070:and 1012:> 977:> 749:and 702:and 655:and 608:and 397:and 387:and 241:and 189:the 83:, a 2230:doi 2188:PMC 2172:doi 2125:doi 2121:334 2084:PMC 2068:doi 2000:PMC 1982:doi 1970:100 1916:doi 1904:298 1853:doi 1841:298 1511:doi 1394:In 1342:in 1310:or 889:or 338:In 303:In 235:MIT 79:In 2754:: 2278:. 2252:. 2244:. 2236:. 2226:39 2224:. 2220:. 2196:. 2186:. 2178:. 2168:50 2166:. 2162:. 2139:. 2131:. 2119:. 2115:. 2092:. 2082:. 2074:. 2062:. 2058:. 2008:. 1998:. 1990:. 1980:. 1968:. 1964:. 1952:^ 1938:. 1930:. 1922:. 1914:. 1902:. 1898:. 1875:. 1867:. 1859:. 1851:. 1839:. 1835:. 1795:^ 1710:, 1690:^ 1669:^ 1657:^ 1641:^ 1563:. 1537:: 1535:}} 1531:{{ 1517:. 1509:. 1462:. 354:. 237:, 233:, 181:. 166:. 129:. 121:, 64:A 2425:e 2418:t 2411:v 2282:. 2260:. 2232:: 2204:. 2174:: 2147:. 2127:: 2100:. 2070:: 2064:1 2043:. 2016:. 1984:: 1976:: 1946:. 1918:: 1910:: 1883:. 1855:: 1847:: 1789:. 1745:. 1635:. 1620:. 1605:. 1573:. 1548:) 1544:( 1527:. 1513:: 1318:B 1298:A 1278:C 1251:) 1248:B 1245:, 1242:A 1239:( 1234:C 1209:A 1189:C 1169:B 1149:A 1129:C 1109:A 1083:B 1056:A 1031:) 1026:C 1023:B 1020:A 1016:k 1009:B 1006:( 1001:A 993:) 988:C 985:A 981:k 974:A 971:( 966:A 956:C 948:= 945:) 942:B 939:, 936:A 933:( 928:C 903:0 900:= 897:B 877:0 874:= 871:A 851:0 848:= 845:) 842:B 839:, 836:A 833:( 828:C 799:) 796:B 793:, 790:A 787:( 782:C 757:C 737:B 715:z 688:Y 663:B 643:A 621:z 594:y 567:C 562:C 551:) 548:B 545:, 542:A 539:( 534:C 526:= 520:t 512:C 485:B 480:B 469:) 466:A 463:( 458:B 450:= 444:t 436:B 34:. 20:)

Index

Open system (control theory)
Feedforward

Open-loop control
Feedback (closed loop) control
control system
control engineering
sensors
system
mathematical model
feedback
control theory
physiology
computing
automatic control
mathematical model
PID control
power steering
Model predictive control
black-box
teleoperator
physical system
D. M. MacKay
Georgia Tech
MIT
Stanford
Carnegie Mellon
order of magnitude
Energy consumption
hysteresis

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