Local feedback Pareto strategy for weakly coupled large-scale discrete-time stochastic systems

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Local feedback Pareto strategy for weakly coupled large-scale discrete-time stochastic systems

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In this study, the author discusses a Pareto strategy implemented via state and static output feedback for a class of weakly coupled large-scale discrete-time stochastic systems with state- and control-dependent noise. The asymptotic structure along with the uniqueness and positive semi-definiteness of the solutions of cross-coupled non-linear matrix equations (CNMEs) is newly established via the implicit function theorem. The main contribution of this study is the proposal of a parameter-independent local state and static output feedback Pareto strategy. Moreover, a computational approach for solving the CNMEs is also considered if the information about the small parameter is available. Particularly, a new iterative algorithm based on the linear matrix inequality is established to design a Pareto strategy. Finally, in order to demonstrate the effectiveness of the proposed design method, a numerical example is provided for practical aircraft control problems.

Inspec keywords: discrete time systems; control system synthesis; stochastic systems; state feedback; linear matrix inequalities; iterative methods; Pareto analysis

Other keywords: cross-coupled nonlinear matrix equations; local feedback Pareto strategy; implicit function theorem; parameter-independent static output feedback; state-dependent noise; asymptotic structure; weakly coupled large-scale discrete-time stochastic systems; LMI; linear matrix inequality; practical aircraft control problems; design method; parameter-independent local state output feedback; iterative algorithm; control-dependent noise

Subjects: Other topics in statistics; Discrete control systems; Time-varying control systems; Linear algebra (numerical analysis); Interpolation and function approximation (numerical analysis)

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