Results 261 to 270 of about 1,034,955 (303)

Model reference adaptive control for spectral systems

International Journal of Control, 1987
In this paper, we investigate a model reference adaptive control problem for the class of distributed parameter systems generated by spectral operators. First we present an equivalent static input-output representation for the spectral system using filtered values generated from the inputs and the outputs.
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Synthesis of discrete model reference adaptive systems

IEEE Transactions on Automatic Control, 1971
The synthesis of discrete model reference adaptive systems is discussed from the hyperstability point of view. The results included here are an extension of previous results obtained by the author for the continuous case [1].
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A discrete model reference adaptive system design

International Journal of Control, 1976
An adaptive scheme is devised which derives the error between the state of a discrete linear system and that of a reference model to zero. The scheme can also be used to simultaneously identify all the parameters of the plant when the input is sufficiently general.
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Microcomputer Simulation of Robust Model Reference Adaptive Control Systems

IFAC Proceedings Volumes, 1987
Abstract The implementation of the adaptive regulators in practice necessiates the development of suitable software for testing the performance and the robustness of the already known in literature adaptive control algorithms. The paper studies approaches for decreasing the effect of the unmodelled dynamics in the plant’s model, realized in two ...
I.I. Tomov, K.I. Kolev
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Model Reference Adaptive Sliding Surface Design for Nonlinear Systems

IEEE Transactions on Industry Applications, 2015
The paper introduces a new model reference adaptive sliding surface design algorithm in order to determine possible nonlinear time-varying “sliding surface” for a general class of nonlinear systems. A model reference sliding surface is first designed for a reference nonlinear system by using the state-dependent Riccati equation techniques.
Fatma Kara, Metin U. Salamci
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Identification by Model Reference Adaptive Systems

1992
In this note, we present an introduction to the so-called model reference adaptive system method which can be used to identify a spatially varying parameter in an evolution equation. The inherent mathematical difficulties are briefly discussed and relevant results are given.
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Investigations into model-reference adaptive control systems

Proceedings of the Institution of Electrical Engineers, 1964
The paper considers the behaviour of model-reference adaptive control systems when the system is very simple. Theoretical analysis of the behaviour of the adaptive loop is followed by analogue-computer studies. A second-order system with a second-order model and then a third-order system with a second-order model are considered.
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Model reference adaptive fuzzy control of high-order systems

Engineering Applications of Artificial Intelligence, 1994
The paper presents a model reference adaptive fuzzy control scheme which is suitable for high-order systems of well-known structure. It contains a hybrid fuzzy controlled composed of a nonintegral fuzzy and a proportional-integral algorithm. The output of the hybrid fuzzy controller and the fuzzy tuning algorithm has been described for the angular ...
Bogdan, Stjepan, Kovačić, Zdenko
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An adaptation algorithm for parallel model reference adaptive bilinear systems

IEEE Transactions on Automatic Control, 1986
An adaptation algorithm is presented for parallel model reference adaptive bilinear systems. The output error converges asymptotically to zero and the parameter estimates are bounded for stable reference models. The convergence criterion depends only upon the input sequence and a priori estimates of the maximum parameter values.
Yeo, Y. K., Williams, D. C.
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Model reference adaptive control in Hamiltonian systems

2022
In this thesis we examine model reference control systems (MRC) in Hamiltonian formulation. The MRC system is then developed into a model reference adaptive control system. We then examine the sliding mode technique in Hamiltonian formulation. Comparison of controller performance is given by way of simulated control of a cylindrical robotic manipulator.
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