Adaptive neural control for a class of strict-feedback nonlinear systems with state time delays

IEEE Transactions on Neural Networks

Volumn 20, Issue 7, 2009, Pages 1209-1215

  Yoo, Sung Jin ^a   Park, Jin Bae ^a   Choi, Yoon Ho ^b  

^a Yonsei University   (South Korea)

^b Kyonggi University   (South Korea)

Author keywords

Dynamic surface control; Function approximation technique; Uncertain nonlinear systems; Unknown time delays

Indexed keywords

ADAPTIVE NEURAL CONTROL; ADAPTIVE TECHNIQUE; BACKSTEPPING DESIGN; CONTROL APPROACH; DYNAMIC SURFACE CONTROL; EXTERNAL DISTURBANCES; FEEDBACK FORMS; FUNCTION APPROXIMATION TECHNIQUE; FUNCTION APPROXIMATION TECHNIQUES; LYAPUNOV STABILITY THEOREM; LYAPUNOV-KRASOVSKII FUNCTIONALS; MODEL UNCERTAINTIES; NONLINEAR TERMS; SIMULATION RESULT; STATE TIME DELAY; STRICT-FEEDBACK NONLINEAR SYSTEMS; TIME-DELAY EFFECT; UNCERTAIN NONLINEAR SYSTEMS; UNIFORMLY BOUNDED; UNKNOWN TIME DELAYS;

BACKSTEPPING; CONTROL THEORY; DELAY CONTROL SYSTEMS; FEEDBACK; NONLINEAR SYSTEMS; STATE FEEDBACK; TIME DELAY; UNCERTAINTY ANALYSIS;

ADAPTIVE CONTROL SYSTEMS;

ADAPTATION; ALGORITHM; ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER PROGRAM; COMPUTER SIMULATION; FEEDBACK SYSTEM; NONLINEAR SYSTEM; PHYSIOLOGY; TIME;

ADAPTATION, PHYSIOLOGICAL; ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FEEDBACK; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; SOFTWARE; TIME FACTORS;

EID: 67949086774     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2009.2022159     Document Type: Article

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