23 research outputs found

    Robust mixed H-2/H∞ control for a class of nonlinear stochastic systems

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    The problem of mixed H2/H∞ control is considered for a class of uncertain discrete-time nonlinear stochastic systems. The nonlinearities are described by statistical means of the stochastic variables and the uncertainties are represented by deterministic norm-bounded parameter perturbations. The mixed H2/H∞ control problem is formulated in terms of the notion of exponentially mean-square quadratic stability and the characterisations of both the H2 control performance and the H∞ robustness performance. A new technique is developed to deal with the matrix trace terms arising from the stochastic nonlinearities and the well-known S-procedure is adopted to handle the deterministic uncertainities. A unified framework is established to solve the addressed mixed H2/H∞ control problem using a linear matrix inequality approach. Within such a framework, two additional optimisation problems are discussed, one is to optimise the H∞ robustness performance, and the other is to optimise the H2 control performance. An illustrative example is provided to demonstrate the effectiveness of the proposed method.This work was supported in part by the Engineering and Physical Sciences Research Council (EPSRC) of the UK under Grant GR/S27658/01, the Nuffield Foundation of the UK under Grant NAL/00630/G and the Alexander von Humboldt Foundation of Germany, the National Natural Science Foundation of China under Grant 60474049 and the Fujian provincial Natural Science Foundation of China under Grant A0410012

    A new algorithm for an eigenvalue assignment problem from singular control theory

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    10.1109/TAC.2002.800665IEEE Transactions on Automatic Control4771163-1167IETA

    Infinite eigenvalue assignment for singular systems

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    Linear Algebra and Its Applications2981-321-37LAAP

    Computation of the (j, j′)-lossless factorization for general rational matrices

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    10.1137/040609136SIAM Journal on Control and Optimization441240-267SJCO

    Necessary and sufficient conditions for the output feedback regularization of descriptor systems

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    10.1109/9.746277IEEE Transactions on Automatic Control442405-412IETA

    Variance-Constrained Control for Uncertain Stochastic Systems With Missing Measurements

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    Adaptive Neural Control for a Class of Nonlinearly Parametric Time-Delay Systems

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    Variance-constrained filtering for uncertain stochastic systems with missing measurements

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    A Note on the Robust Stability of Uncertain Stochastic Fuzzy Systems With Time-Delays

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    State Estimation for Delayed Neural Networks

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