Adaptive neural control design for nonlinear distributed parameter systems with persistent bounded disturbances

IEEE Transactions on Neural Networks

Volumn 20, Issue 10, 2009, Pages 1630-1644

  Wu, Huai Ning ^a   Li, Han Xiong ^b  

^a BEIHANG UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Adaptive control; Distributed parameter systems; Input to state stability (ISS); L gain control; Linear matrix inequality (LMI); Neural network (NN)

Indexed keywords

ADAPTIVE CONTROL; DISTRIBUTED PARAMETER SYSTEMS; INPUT-TO-STATE STABILITY (ISS); LINEAR MATRIX INEQUALITY (LMI); NEURAL NETWORK (NN);

AIRCRAFT ENGINES; CONTROL NONLINEARITIES; CONTROL SYSTEM STABILITY; CONTROLLERS; DISTRIBUTED PARAMETER CONTROL SYSTEMS; FEEDBACK CONTROL; GAIN CONTROL; GALERKIN METHODS; IMAGE SEGMENTATION; INTERNET SERVICE PROVIDERS; LINEAR CONTROL SYSTEMS; LINEAR MATRIX INEQUALITIES; LYAPUNOV FUNCTIONS; NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; ORDINARY DIFFERENTIAL EQUATIONS; PARTIAL DIFFERENTIAL EQUATIONS; RADIAL BASIS FUNCTION NETWORKS; STATE FEEDBACK; SYSTEM STABILITY; SYSTEMS ENGINEERING; VIBRATION CONTROL;

ADAPTIVE CONTROL SYSTEMS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; FEEDBACK SYSTEM; NONLINEAR SYSTEM; THEORETICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; FEEDBACK; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS;

EID: 70350343152     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2009.2028887     Document Type: Article

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