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Robust simplified adaptive model following for linear time-delay systems

R. Ben Yamin, I. Yaesh, U. Shaked

Open publisher page 5 citations

Abstract

An output-feedback model-following problem is solved, for linear time-delay systems with uncertainties, using robust simplified adaptive controllers. Sufficient conditions for closed-loop stability of the proposed simplified adaptive control scheme are given, in terms of Bilinear Matrix Inequalities. Stability is analyzed using the Lyapunov-Krasovskii functional method. The solutions are delay-dependent; however, delay-independent results can be obtained, as a particular case, for certain values of the design parameters. A numerical example is given, which demonstrates the proposed method and the simplicity of its implementation.

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What this paper is about

An output-feedback model-following problem is solved, for linear time-delay systems with uncertainties, using robust simplified adaptive controllers. Sufficient conditions for closed-loop stability of the proposed simplified adaptive control scheme are given, in terms of Bilinear Matrix Inequalities. Stability is analyzed using the Lyapunov-Krasovskii functional method. The solutions are delay-dependent; however, delay-independent results can be obtained, as a particular case, for certain values of the design parameters. A numerical example is given, which demonstrates the proposed method and the simplicity of its implementation.

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Available abstract

An output-feedback model-following problem is solved, for linear time-delay systems with uncertainties, using robust simplified adaptive controllers. Sufficient conditions for closed-loop stability of the proposed simplified adaptive control scheme are given, in terms of Bilinear Matrix Inequalities. Stability is analyzed using the Lyapunov-Krasovskii functional method. The solutions are delay-dependent; however, delay-independent results can be obtained, as a particular case, for certain values of the design parameters. A numerical example is given, which demonstrates the proposed method and the simplicity of its implementation.

Key concepts: Control theory (sociology), Bilinear interpolation, Stability (learning theory), Scheme (mathematics), Adaptive control, Linear system, Computer science, Mathematics

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