Adaptive output-feedback decentralized control of a class of second order nonlinear systems using recurrent fuzzy neural networks

Neurocomputing

Volumn 73, Issue 1-3, 2009, Pages 461-467

  Hernandez, Miguel ^a   Tang, Yu ^a  

^a UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

Author keywords

Adaptive decentralized control; Lyapunov stability; Output feedback; Recurrent neural fuzzy networks

Indexed keywords

ADAPTIVE DECENTRALIZED CONTROL; ADAPTIVE OUTPUT; CENTRALIZED CONTROL; CONTROL COMPONENTS; CONTROL LAWS; CONTROLLER DYNAMICS; INTERCONNECTED SYSTEMS; LOCAL STATE; LYAPUNOV STABILITY; LYAPUNOV STABILITY ANALYSIS; OUTPUT-FEEDBACK; RECURRENT FUZZY NEURAL NETWORK; RECURRENT NETWORKS; RECURRENT NEURAL FUZZY NETWORKS; SECOND ORDERS; SECOND-ORDER NONLINEAR SYSTEMS; STATE ESTIMATORS;

CONTROL THEORY; CONTROLLERS; DECENTRALIZED CONTROL; FEEDBACK; FUZZY NEURAL NETWORKS; NONLINEAR SYSTEMS; POWER CONVERTERS; RECURRENT NEURAL NETWORKS; SYSTEM STABILITY;

ADAPTIVE CONTROL SYSTEMS;

ARTICLE; DECENTRALIZATION; FEEDBACK SYSTEM; FUZZY SYSTEM; NONLINEAR SYSTEM; PRIORITY JOURNAL; ROBOTICS; STATISTICAL MODEL;

EID: 70350738365     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.07.010     Document Type: Article

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