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Titlebook: Control of Uncertain Systems; Proceedings of an In Diederich Hinrichsen,Bengt Mårtensson Conference proceedings 1990 Springer Science+Busin

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https://doi.org/10.1007/978-3-662-29516-8ntral solution for general, convex systems of inequalities, we present new algorithms for solving several classes of problems of robust feedback design, providing also new methods for ellipsoidal approximations of the state vector in the case of fixed saturation bounds for the controls and disturban
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https://doi.org/10.1007/978-3-662-29521-2apid changes of the operating conditions. Classical adaptive controllers are not appropriate for rapid parameter changes of the controlled process. The technique presented in this paper is based on the description of a nonlinear or time-varying system by a multi-model consisting of several linear su
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https://doi.org/10.1007/978-3-662-29521-2 admissible set. The design consists of an observer in each control channel, which includes estimates of the controls generated in the other channels and of the worst disturbance as determined by a state-feedback .. solution. The observer gains are computed from a positive-definite solution of a Ric
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https://doi.org/10.1007/978-3-662-29523-6tic polynomial coefficients are polynomial or rational functions of uncertain physical parameters is considered. A method is proposed which uses Bernstein polynomial expansions to test stability of families of matrices generated by parameters belonging to a hyperrectangular unceratinty set. The algo
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Stability Radii and Lyapunov Exponents, concept of Lyapunov exponents, which describe the exponential growth behavior, in order to define a variety of stability and instability radii for families of linear systems . = [. + .(.)].(.) ∈ .., . ≥ 0. Here {.., . ≥ 0} can denote sets of real or complex matrices, and the perturbation .(.) can b
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