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Control of nonlinear systems with time-varying output constraints

Automatica, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Keng Peng Tee, Beibei Ren, Shuzhi Sam Ge
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Minimum-variance control of linear time-varying systems

Automatica, 1997
Single-input, single-output linear discrete-time systems with time-varying parameters are considered. The minimum-variance control of such systems with closed-loop stability guarantee is presented. The method is based on modifying the regular minimum-variance controller to achieve closed-loop stability. Simulation results are also included.
Li, Zheng, Evans, Rob
openaire   +4 more sources

A Method for Suboptimal Control of Time-varying Systems

Journal of the Franklin Institute, 1978
Abstract A finite set expansion method is presented for the suboptimal control of linear time-varying systems with both complete and incomplete state availability. By projecting the dynamical model of the system into a subspace of Walsh signals, we are able to implement the control by employing a computational method which involves constant ...
Tzafestas, S., Stavroulakis, P.
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Nonstationary robust control for time-varying system

Proceedings of the 2004 American Control Conference, 2004
This work presents a synthesis method of nonstationary robust controller for a time-varying system considering various uncertainties. For the uncertainties, a scaled structured uncertainty is regarded as weightings for variations of parameters and a design function in the time domain.
Masatsugu Otsuki, Kazuo Yoshida
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Adaptive control of linear time-varying systems

Automatica, 2003
This paper presents an adaptive output feedback control algorithm that assures boundedness of all closed-loop signals, arbitrarily improved transient performance of the tracking error, and asymptotically vanishing tracking error when parameter time derivatives are \(L^1\) signals and disturbances are \(L^2\) signals.
MARINO R,, TOMEI P
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An adaptive control method for time-varying systems

European Journal of Operational Research, 2000
An adaptive control technique based on fuzzy parameter identification is proposed for time-varying linear systems. A fuzzy identification algorithm has been developed for handling the fuzziness of the system input, output and time-varying parameters. The identification of the fuzzy parameters includes estimations for past and present time, as well as ...
Bingyong Tang, Xu Li Da, Wenjie Wang
openaire   +2 more sources

Simultaneous Identification and Control of Time-Varying Systems

Proceedings of the 45th IEEE Conference on Decision and Control, 2006
The paper addresses two complementary problems. The first one is to derive a rigorous formulation of adaptive control when the parameters of the plant are time-varying. To make the problem tractable, the time-variation is approximated by a piecewise-constant function assuming a finite number N of unknown values.
Matthias J. Feiler, Kumpati S. Narendra
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Time-varying optimal control of a non-linear system

42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004
The solution is given to a time-varying optimal state feedback problem with stochastic disturbances. The system is composed of a plant and disturbance model represented by polynomials in the delay operator, z/sup -1/, leading to a solution involving spectral factorisation of operator equations and Diophantine operator equations.
Grimble, M.J., Martin, P.
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Robust Controller Synthesis for Uncertain Time-Varying Systems

SIAM Journal on Control and Optimization, 2002
The paper extends results on linear time-invariant robust design to linear time-varying systems (arising for example when linearizing a non-linear system along a given trajectory). Tools include standard state-space results on robust design, such as the scaled small-gain theorem, but also less standard results on linear operator inequalities and ...
Carol Pirie, Geir E. Dullerud
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Adaptive Control of Time-Varying and Nonlinear Systems

1994
This chapter contains theoretical concepts that are more advanced than those used in the preceding chapters. These concepts and several references are used to show that the preceding adaptive controllers still maintain stability with respect to boundedness even for certain classes of time-varying and nonlinear systems.
Howard Kaufman   +2 more
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