A new neuro-FDS definition for indirect adaptive control of unknown nonlinear systems using a method of parameter hopping

IEEE Transactions on Neural Networks

Volumn 20, Issue 4, 2009, Pages 609-625

  Boutalis, Yiannis ^a,b   Theodoridis, Dimitris C ^a,c   Christodoulou, Mamolis A ^d  

^a DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

^b UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^c TECHNOLOGICAL EDUCATIONAL INSTITUTE OF KAVALA   (Greece)

^d TECHNICAL UNIVERSITY OF CRETE   (Greece)

Author keywords

Adaptive control; Fuzzy systems; Neural networks; Parameter hopping

Indexed keywords

A-PRIORI; ADAPTIVE CONTROL; ADAPTIVE FUZZY SYSTEMS; ASYMPTOTIC REGULATIONS; BENCHMARKING SYSTEMS; CLOSED LOOPS; CONTROL SIGNALS; CONVENTIONAL APPROACHES; DIRECT-CURRENTS; FUZZY OUTPUTS; HIGH-ORDER NEURAL NETWORKS; IDENTIFICATION ERRORS; IDENTIFICATION SCHEMES; INDIRECT ADAPTIVE CONTROLS; INDIRECT ADAPTIVE REGULATIONS; INITIAL DESIGNS; INPUT VARIABLES; MOTOR SYSTEMS; NEURO-FUZZY; NOVEL METHODS; OPERATION POINTS; PARAMETER HOPPING; RECURRENT HIGH-ORDER NEURAL NETWORKS; SPECIAL FORMS; SYSTEM STATE;

DYNAMICAL SYSTEMS; FUZZY CONTROL; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; IDENTIFICATION (CONTROL SYSTEMS); LAWS AND LEGISLATION; MEMBERSHIP FUNCTIONS; NONLINEAR CONTROL SYSTEMS; NONLINEAR DYNAMICAL SYSTEMS;

ADAPTIVE CONTROL SYSTEMS;

EID: 67349086870     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2008.2010772     Document Type: Article

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