Output-feedback tracking control for interval type-2 polynomial fuzzy-model-based control systems

NEUROCOMPUTING

卷:242

Article

Xiao, Bo¹  Lam, H. K.¹  Song, Ge¹  Li, Hongyi² 

[1] Kings Coll London, Dept Informat, London WC2R 2LS, England

[2] Bohai Univ, Coll Engn, Jinzhou 121013, Liaoning, Peoples R China

关键词: Fuzzy tracking control;    Interval type-2 fuzzy logic;    Polynomial fuzzy-model-based (PFMB);    control systems;    Stability analysis;    Sum of squares (SOS);   

DOI  :  10.1016/j.neucom.2017.02.049

来源: Elsevier

【 摘 要 】

In this paper, the output tracking control issues of polynomial-fuzzy-model-based (PFMB) systems equipped with mismatched interval type-2 (IT2) membership functions are investigated. The output feedback IT2 polynomial fuzzy controller connected with the nonlinear plant in a closed loop drives the system states of the nonlinear plant to track those of a stable reference model. The system stability is investigated based on the Lyapunov stability theory under the sum-of-squares (SOS)-based analysis approach and the SOS -based stability conditions are derived subjecting to an H-infinity performance. In addition, the fuzzy controller does not need to share the same membership functions with the plant. Moreover, the information of membership functions is included in the analysis to facilitate the analysis and relax the stability conditions. Numerical and experimental examples are presented to verify the effectiveness of the proposed tracking control approach. (C) 2017 Elsevier B.V. All rights reserved.

【 授权许可】

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