Results 261 to 270 of about 33,998,602 (296)
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Model reference adaptive control for spectral systems
International Journal of Control, 1987In 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, 1971The 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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Parameter Identification in a Model Reference Adaptive System
IFAC Proceedings Volumes, 1982Abstract The adaptive scheme suggested by Monopoli is used to identify the plant parameters of a single-input single-output linear system. State-variable filters are used to minimize the effect of output noise on the parameters1 estimates. Experimental results show the feasibility of the proposed adaptive scheme.
O.A. Sebakhy, Α.I.A. Salama
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On a robust model-reference adaptive control system
Proceedings IEEE International Symposium on Intelligent Control 1988, 2003A new type of model-reference adaptive control system is presented. The system state estimator of this adaptive system is described by the differential equation of the reference model with the feedback speeding up the estimator action during the tuning-up of the controller parameters and vanishing when the system performance approaches that of the ...
J.T. Bialasiewicz, J.C. Proano
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Adaptive stabilization systems with several reference models
Optoelectronics, Instrumentation and Data Processing, 2008Properties of SISO adaptive stabilization systems with different types of reference model for prescribing dynamic and static characteristics are discussed. The influence of the model structure that forms the input action on the control signal is considered.
O. Ya. Shpilevaya, E. V. Ivanenko
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Structure of model reference adaptive control systems
International Journal of Control, 1981The structure of model reference adaptive control systems is explained in a more understandable way in this paper. By applying exact model matching theory, tho basic structure of model reference adaptive control systems is established. Also, the reason for the necessity of an augmented error signal as well as its physical meaning is made clear.
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Model reference adaptive control in Hamiltonian systems
2022In 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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Parameter identification by model reference adaptive systems
Advances in Water Resources, 1991Abstract 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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A condition for decentralization in model reference adaptive systems
IEEE Transactions on Automatic Control, 1976It is shown that when the interconnection pattern within a system conforms to certain prescribed symmetry requirements, decentralized adaptive algorithms for identification and control can be developed within a decomposition-decentralization framework. This is useful in the presence of constraints on the available information structure of the system.
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Discrete model reference adaptive control systems
International Journal of Control, 1978Abstract A synthesis technique is presented for stable discrete model reference adaptive control systems. In the adaptive system the process parameters are adjusted indirectly according to a discrete gradient law. The stability of the adaptive scheme is demonstrated by Liapunov's second method.
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