Indirect adaptive control of unknown multi variable nonlinear systems with parametric and dynamic uncertainties using a new neuro-fuzzy system description

International Journal of Neural Systems

Volumn 20, Issue 2, 2010, Pages 129-148

  Theodoridis, Dimitrios ^a   Boutalis, Yiannis ^a,b   Christodoulou, Manolis ^c,d  

^a DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

^b UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^c TECHNICAL UNIVERSITY OF CRETE   (Greece)

^d POLITECNICO DI TORINO   (Italy)

Author keywords

Adaptive control; Neuro fuzzy control; Recurrent neural networks

Indexed keywords

ADAPTIVE CONTROL; CLOSED LOOPS; CONTROL LAWS; CONTROL SIGNAL; DYNAMIC UNCERTAINTY; FUZZY PARTITIONING; HIGH-ORDER NEURAL NETWORK; IDENTIFICATION ERRORS; INDIRECT ADAPTIVE CONTROL; INDIRECT ADAPTIVE REGULATION; MOORE-PENROSE; MULTI VARIABLES; MULTIPLE INPUTS; NEURO-FUZZY; NEUROFUZZY CONTROL; NEUROFUZZY SYSTEM; NOVEL METHODS; OPERATION POINT; PARAMETER UNCERTAINTY; PROJECTION METHOD; PSEUDO-INVERSES; SYSTEM STATE;

DYNAMICAL SYSTEMS; FUZZY CONTROL; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; NONLINEAR DYNAMICAL SYSTEMS; RECURRENT NEURAL NETWORKS;

ADAPTIVE CONTROL SYSTEMS;

ADAPTATION; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; FUZZY LOGIC; HUMAN; METHODOLOGY; NONLINEAR SYSTEM; PHYSIOLOGY; UNCERTAINTY;

ADAPTATION, PHYSIOLOGICAL; ALGORITHMS; FUZZY LOGIC; HUMANS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; UNCERTAINTY;

EID: 77951554455     PISSN: 01290657     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0129065710002310     Document Type: Article

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