H∞ consensus and synchronization of nonlinear systems based on a novel fuzzy model

IEEE Transactions on Cybernetics

Volumn 43, Issue 6, 2013, Pages 2157-2169

  Zhao, Yan ^a   Li, Bing ^a   Qin, Jiahu ^b   Gao, Huijun ^a   Karimi, Hamid Reza ^c  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^c Faculty of Engineering and Science   (United States)

Author keywords

H consensus; Nonlinear multiagent systems; Synchronization; Takagi Sukeno (T S) fuzzy models

Indexed keywords

CONSENSUS ALGORITHMS; EXTERNAL DISTURBANCES; FUZZY MODELING METHOD; FUZZY MODELS; MULTIAGENT NETWORKS; NONLINEAR MULTI-AGENT SYSTEMS; SYNCHRONIZATION PROBLEM; TOPOLOGICAL STRUCTURE;

CHAOTIC SYSTEMS; ELECTRIC NETWORK TOPOLOGY; MULTI AGENT SYSTEMS; NONLINEAR SYSTEMS;

SYNCHRONIZATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; DECISION SUPPORT SYSTEM; FEEDBACK SYSTEM; FUZZY LOGIC; METHODOLOGY; NONLINEAR SYSTEM; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DECISION SUPPORT TECHNIQUES; FEEDBACK; FUZZY LOGIC; MODELS, THEORETICAL; NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED;

EID: 84890093287     PISSN: 21682267     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCYB.2013.2242197     Document Type: Article

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