JOURNAL ARTICLE

Fuzzy model-based decentralized robust piecewise static output feedback control for discrete-time large-scale nonlinear systems

Zhixiong ZhongChong ChenYanling WeiZhenhua Shao

Year: 2017 Journal:   International Journal of General Systems Vol: 46 (3)Pages: 287-312   Publisher: Taylor & Francis

Abstract

This paper investigates the problem of decentralized robust output feedback H∞ control for a class of discrete-time large-scale nonlinear systems. The considered large-scale system consists of several nonlinear subsystems with interconnections and parametric uncertainties, and each nonlinear subsystem is represented by a Takagi–Sugeno (T–S) model. Our objective is to design a decentralized robust piecewise static output feedback (SOF) controller such that the closed-loop fuzzy control system is asymptotically stable with an H∞ disturbance attenuation level. Based on a piecewise Lyapunov function combined with some matrix inequality linearization techniques, and the descriptor system approach, sufficient conditions on the existence of a decentralized piecewise SOF H∞ controller are derived for the underlying large-scale T–S fuzzy system in terms of linear matrix inequalities. The effectiveness of the obtained results in this paper is validated by two numerical examples.

Keywords:
Control theory (sociology) Nonlinear system Piecewise Mathematics Lyapunov function Parametric statistics Linearization Fuzzy logic Controller (irrigation) Linear matrix inequality Fuzzy control system Feedback linearization Mathematical optimization Computer science Control (management)

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13
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1.40
FWCI (Field Weighted Citation Impact)
48
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0.82
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Citation History

Topics

Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Matrix Theory and Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

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