Results 241 to 250 of about 27,507,539 (289)

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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Indirect Binary Model Reference Adaptive Control

2011 9th IEEE International Conference on Control and Automation (ICCA), 2011
This paper proposes an Indirect Binary Model Reference Adaptive Controller (IB-MRAC), with the main objective of combining the steady-state features of controllers based in integral parameter adaptation with the fast and non oscillatory transient of variable structure based strategies.
Leonardo Teixeira, Josenalde B. Oliveira, Aldayr D. Araújo   +2 more
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Stochastic adaptive prediction and model reference control

IEEE Transactions on Automatic Control, 1994
The authors propose a comprehensive theory of stochastic adaptive filtering, control and identification. They analyze two identification algorithms each for two possible parametrizations of the system and indirect and direct adaptive predictors each based on either a least- square or a gradient algorithm.
Wei Ren, Poornachandran Kumar
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Model Reference Adaptive Control

2019
We consider here an adaptive version of the output tracking results established in Sect. 3.5, and solve a model reference adaptive control problem where the goal is to make a measured signal track a reference signal from minimal knowledge of the system parameters. Consider system ( 2.1), which we restate here $$u_t(x, t) - \lambda (x) u_x(x, t) = f(
Henrik Anfinsen, Ole Morten Aamo
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Combined/Composite Model Reference Adaptive Control

IEEE Transactions on Automatic Control, 2009
This technical note introduces a provably stable state-feedback design modification for combined/composite adaptive control of multi-input multi-output dynamical systems with matched uncertainties. The proposed design methodology is applied to control longitudinal dynamics of an aerial vehicle.
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Direct fuzzy model-reference adaptive control

International Journal of Intelligent Systems, 2002
The classical model-reference adaptive control approach works satisfactorily under certain assumptions on the unknown process only. When these assumptions are not satisfied, the resulting control system is unstable, and an alternative to obviate this pitfall is to use fuzzy adaptive control.
Igor Skrjanc, Saso Blazic, Drago Matko
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ON REDUCED ORDER MODEL REFERENCE ADAPTIVE CONTROL

IFAC Proceedings Volumes, 1991
Abstract This work deals with the relaxation of one |of the basic assumptions in the model reference approach to the adaptive control of unknown linear SISO systems, namely, the assumption concerning the a-priori knowledge of the relative degree. The elimination of such an assumption allows a unified treatment of both the unmodeled dynamic case and ...
G. Bartolini, A. Ferrara
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Hybrid Model Reference Adaptive Fuzzy Controller

2009 Second International Conference on Emerging Trends in Engineering & Technology, 2009
This paper describes a hybrid controller combining a Model Reference Fuzzy Controller (MRFC) and Simple fuzzy logic control (FLC) for vector controlled permanent magnet synchronous motor (PMSM) is described. First, an MRFC system is designed to allow the plant states to follow the states produced by a reference model.
Nitin J. Patil, Rajan H. Chile, Laxman M. Waghmare   +2 more
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Stability in qualitative model reference adaptive control

1999 European Control Conference (ECC), 1999
In this paper a Model Reference Adaptive Control system is presented which is based on qualitative (less precise) models. These qualitative models can represent the underlying physical system accurately even with low order models. Further, multi-valued performance specifications can be expressed explicitly by a qualitative model in the form of a ...
Uwe Keller, Donald S. Reay, Roy Leitch
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Model reference adaptive control of advertising systems

2017 American Control Conference (ACC), 2017
Internet advertising is a relatively new area where feedback control has become critically important for scalable optimization. But using feedback control in this space is challenging due to nonlinear, time-varying, and uncertain plants. In this paper we propose a high-fidelity model reference adaptive controller for reference tracking of budget ...
Jiaxing Guo, Niklas Karlsson
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