LMI-based stability analysis of fuzzy-model-based control systems using approximated polynomial membership functions

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 41, Issue 3, 2011, Pages 713-724

  Narimani, Mohammand ^a   Lam, H K ^a   Dilmaghani, R ^a   Wolfe, Charles ^a,b  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b GUY'S AND ST THOMAS' NHS FOUNDATION TRUST   (United Kingdom)

Author keywords

Fuzzy control; linear matrix inequality (LMI); membership function shape dependent stability conditions; TakagiSugeno (TS) fuzzy model

Indexed keywords

FUZZY CONTROLLERS; FUZZY MODELS; LINEAR MATRIX INEQUALITY (LMI); MEMBERSHIP-FUNCTION-SHAPE-DEPENDENT STABILITY CONDITIONS; OPERATING REGIONS; PRODUCT TERM; S-PROCEDURES; SIMULATION EXAMPLE; STABILITY ANALYSIS; STABILITY CONDITION; STATE VARIABLES; TAKAGI-SUGENO FUZZY MODELS;

CONTROL SYSTEM ANALYSIS; CONTROL SYSTEMS; FUZZY CONTROL; LINEAR MATRIX INEQUALITIES; LYAPUNOV FUNCTIONS; MEMBERSHIP FUNCTIONS; POLYNOMIALS; UNCERTAIN SYSTEMS;

CONTROL SYSTEM STABILITY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FEEDBACK SYSTEM; FUZZY LOGIC; MATHEMATICAL COMPUTING; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FEEDBACK; FUZZY LOGIC; MODELS, STATISTICAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED;

EID: 79957501867     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2010.2086443     Document Type: Article

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