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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44114

Title: PDC and Non-PDC fuzzy control with relaxed stability conditions for contintuous-time multiplicative noised fuzzy systems
Authors: Wen-Jer Chang;Cheung-Chieh Ku;Chia-Hao Chang
Contributors: 國立臺灣海洋大學:輪機工程學系
Date: 2012
Issue Date: 2017-11-15T02:25:18Z
Publisher: Journal of The Franklin Institute
Abstract: This paper presents a relaxed scheme of fuzzy controller design for continuous-time nonlinear stochastic systems that are constructed by the Takagi–Sugeno (T–S) fuzzy models with multiplicative noises. Through Nonquadratic Lyapunov Functions (NQLF) and Non-Parallel Distributed Compensation (Non-PDC) control law, the less conservative Linear Matrix Inequality (LMI) stabilization conditions on solving fuzzy controllers are derived. Furthermore, in order to study the effects of stochastic behaviors on dynamic systems in real environments, the multiplicative noise term is introduced in the consequent part of fuzzy systems. For decreasing the conservatism of the conventional PDC-based fuzzy control, the NQLF stability synthesis approach is developed in this paper to obtain relaxed stability conditions for T–S fuzzy models with multiplicative noises. Finally, some simulation examples are provided to demonstrate the validity and applicability of the proposed fuzzy controller design approach.

PDC and Non-PDC fuzzy control with relaxed stability conditions for contintuous-time multiplicative noised fuzzy systems. Available from: https://www.researchgate.net/publication/256710852_PDC_and_Non-PDC_fuzzy_control_with_relaxed_stability_conditions_for_contintuous-time_multiplicative_noised_fuzzy_systems [accessed Nov 15 2017].
Relation: 349(8), pp.2664-2686
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44114
Appears in Collections:[輪機工程學系] 期刊論文

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