Gain‐scheduled control design for discrete‐time nonlinear systems using difference‐algebraic representations

Resumo

Resumo

Summary This paper addresses the local stabilization problem of nonlinear systems described by Difference‐Algebraic Representations (DAR). A novel set of sufficient Linear Matrix Inequalities (LMI) conditions are developed to design gain‐scheduled state feedback controllers. The proposed approach uses parameter‐dependent Lyapunov functions and new auxiliary decision variables aiming to obtain less conservative results. Two optimization problems are proposed to either obtain the largest estimated Domain‐of‐Attraction (DOA) or minimize the ℓ 2 ‐gain from the energy‐bounded disturbance input to the performance output. Furthermore, this investigation considers control input saturation and system states constrained in a polyhedral region. Numerical examples are provided to illustrate the effectiveness of the proposed methodology, showing favorable comparisons with recently published similar approaches.

palavras-chave

Palavras-chave

gain-scheduled controldiscrete-time nonlinear systemslocal stabilizationlinear matrix inequalitiesparameter-dependent Lyapunov functionsdomain of attraction estimationinput saturationstate feedback control

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