This chapter presents a new approach to design Gain-Scheduled Static Output Feedback (SOF) controller for constrained NLPV descriptor system, subject to input saturation and exogenous disturbances. Moreover, both state and input constraints are explicitly taken into account in the control design using set-invariance arguments. Within the considered local control context, the new class of Parameter Dependent (PD) nonquadratic Lyapunov functions provides an effective solution to estimate the largest closed-loop Domain of Attraction (DoA), which can be nonconvex, it can be formulated and solved as an optimization problem under strict PDLMI constraints, the L 2 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$L_2$$\end{document} gain performance is used to attenuate the effect of the disturbance signals. Stability analysis and controller design are provided with techniques in order to obtaining less conservative results. The theoretical developments are provided to demonstrate the effectiveness of the proposed approach in reducing the design conservatism through an illustrative example.


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    Title :

    Robust Constrained Gain-Scheduled Static Output Feedback Controller for NLPV Descriptor Systems Subject to State and Input Constraints


    Additional title:

    Studies in Systems, Decision and Control


    Contributors:


    Publication date :

    2023-08-12


    Size :

    18 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English






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    Kanno, S. / Chen, G. / Shibata, H. et al. | British Library Online Contents | 2003