Results 211 to 220 of about 3,531,090 (251)

Fuzzy model reference adaptive control

IEEE Transactions on Fuzzy Systems, 2002
This paper investigates a fuzzy model reference adaptive controller (FMRAC) for continuous-time multiple-input-multiple-output (MIMO) nonlinear systems. The proposed adaptive scheme uses a Takagi-Seguno (TS) fuzzy adaptive system, which allows for the inclusion of a priori information in terms of qualitative knowledge about the plant operating points ...
N. Golea, A. Golea, K. Benmahammed
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Genetic model reference adaptive control

Proceedings of 1994 9th IEEE International Symposium on Intelligent Control, 2002
A genetic algorithm (GA) uses the principles of evolution, natural selection, and genetics to offer a method for parallel search of complex spaces. Motivated by the past GA's use in off-line design of controllers we introduce a new approach to adaptive control, which we call "genetic model reference adaptive control" (GMRAC), where a GA manipulates a ...
L.M.L. Porter, K.M. Passino
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?????????????????????????? ?????????????? ?????????????????? ?? ???????????????????????? ?? ?????????????????????? ???? ???????????? ?????????????????? ???????????? Model Reference Controller

2019
???????????????? ???????????? ?????????????? ?????????????????? ?? ???????????????????????? ?? ?????????????????????? ?????????????????????????? ???????????????????? ???? ???????????? ?????????????????? ???????????? Model Reference Controller. ?????????????????? ?????????????????? ?? ?????????????? ???????????????? ??????????????????????????????. ??????
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Stochastic model reference adaptive controllers

1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes, 1980
The behaviour of Model Reference Adaptive Controllers (MRAC) shemes designed in the deterministre framework is analysed and studied in the stochastic environment. The case of discret single input - single output (SISO) minimum phase systems is considered.
L. Dugard, I. Landau
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Model reference adaptive consensus control

52nd IEEE Conference on Decision and Control, 2013
A design method of model reference adaptive consensus control of multi-agent systems composed of unknown linear processes is presented in this paper. The proposed control scheme is constructed via a backstepping procedure and state variable filters together with a restricted information network structure among agents.
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Model-Reference Adaptive Control System Design Technique

Journal of Dynamic Systems, Measurement, and Control, 1973
This paper considers the model-reference adaptive control problem which has received considerable attention in the literature in the last few years. An adaptive control scheme is proposed which has terms in the Liapunov function used in the design procedure which are not included in previously proposed schemes.
Sutherlin, D. W., Boland, J. S. III
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Optimized Model Reference Adaptive Control

2013
In the chapter, aiming at shaping the tilt and yaw angular motion subsystem of the WIP system to minimize both motion tracking errors and angular accelerations, we employ linear quadratic regulation (LQR) optimization technique to obtain an optimal reference model, which is similar to an impedance model of spring and damper with an artificial force ...
Zhijun Li, Chenguang Yang, Liping Fan
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MODEL REFERENCE ADAPTIVE CONTROL OF MECHANICAL MANIPULATORS

IFAC Proceedings Volumes, 1983
Abstract The dynamic equations of mechanical manipulators are highly nonlinear and complex. Furthermore, the inertia characteristics of the manipulator depend on the payload which is often unknown. Because of these reasons, there is an increasing interest in adaptive control of mechanical manipulators.
M. Tomizuka, R. Horowitz
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Adjustable model reference adaptive control

1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes, 1979
An adjustable model reference adaptive control strategy is proposed where both the controller and reference model parameters are adapted. Adaptive control laws for this structure implementing pole cancellation and replacement and avoiding the zero cancellation usually required by model reference adaptive control are developed from self-tuning adaptive ...
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Direct Adaptive Model Reference Control

1996
Adaptive model reference control applied to linear time invariant systems is one of the mainstream developments in the adaptive control literature. It concerns the imposition of a completely new input-output behavior on the plant: both zeros and poles of the plant’s transfer function are to be changed.
Iven Mareels, Jan Willem Polderman
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