Improved observer-based Hoo control for fuzzy interconnected systems
Fuzzy Systems(2014)
Abstract
In this paper, based on Lyapunov-Krasovskii functional approach and the decentralized control theory of interconnected systems, we consider the observer-based control design for a class of fuzzy descriptor interconnected systems. Firstly, the stability conditions of the T-S fuzzy model with a prescribed performance level are provided in theorem 1, but there is no efficient algorithm solving the inequalities. Theorem 2 proposes a single-step method, reducing the conservatism of the conditions. This method overcomes the drawback of the two-step approach in other methods. The stability conditions in theorem 1 are the sufficient and necessary conditions of the ones in theorem 2. The parameters of reliable H∞ controllers can be found via LMI toolbox in MATLAB software. Finally a numerical example is given to show the validity of the proposed method.
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Key words
H∞ control,Lyapunov methods,control system synthesis,decentralised control,fuzzy control,interconnected systems,linear matrix inequalities,observers,stability,LMI toolbox,Lyapunov-Krasovskii functional approach,MATLAB software,T-S fuzzy model,decentralized control theory,fuzzy descriptor interconnected systems,inequalities,necessary conditions,observer-based H∞ control,observer-based control design,single-step method,stability conditions,sufficient conditions,H∞ control,a single-step method,interconnected systems,observer-based control
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