Results 281 to 290 of about 1,328,506 (341)

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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Mixed therapy in cancer treatment for personalized drug administration using model reference adaptive control

European Journal of Control, 2019
The paper presents Model Reference Adaptive Control (MRAC) design strategy to determine personalized drug delivery protocol for mixed therapy with chemotherapy and immunotherapy in cancer treatment. We consider a nonlinear mathematical ODE set for cancer
Naser Babaei, Metin U. Salamci
semanticscholar   +1 more source

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 control system

AIChE Journal, 1967
AbstractAn adaptive process control scheme—which uses a differential equation model, requires no differentiations in the adaptive circuitry, and no identification of the varying process parameter—was analyzed mathematically and studied on an analog computer.
Robert M. Casciano, H. Kenneth Staffin
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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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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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Tracking and parameter identification for model reference adaptive control

International Journal of Robust and Nonlinear Control, 2019
We provide barrier Lyapunov functions for model reference adaptive control algorithms, allowing us to prove robustness in the input‐to‐state stability framework and to compute rates of exponential convergence of the tracking and parameter identification ...
Michael A. Malisoff
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Model Reference Adaptive Control

2000
Control algorithms discussed in Chapters 2–5 are generally based on the discrete-time model and in most cases the input and output models are used to formulate the algorithm. In this chapter, an alternative approach will be described using the state space model.
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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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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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