Robust H∞ control for uncertain delayed nonlinear systems based on standard neural network models

Neurocomputing

Volumn 71, Issue 16-18, 2008, Pages 3469-3492

  Liu, Meiqin ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Linear matrix inequality (LMI); Network model (SNNM); Nonlinear system; Output feedback; Robust H control; Standard neural; Time delay system; Uncertain system

Indexed keywords

ASYMPTOTIC STABILITY; CONTROL SYSTEMS; CONTROL THEORY; DELAY CONTROL SYSTEMS; DISTRIBUTED PARAMETER CONTROL SYSTEMS; FEEDBACK; FEEDBACK CONTROL; FUZZY CONTROL; IMAGE CLASSIFICATION; LINEAR CONTROL SYSTEMS; LINEAR MATRIX INEQUALITIES; NONLINEAR CONTROL SYSTEMS; NONLINEAR SYSTEMS; RECURRENT NEURAL NETWORKS; STANDARDS; SYSTEM STABILITY; TIME DELAY; UNCERTAIN SYSTEMS; VEGETATION;

ACTIVATION FUNCTIONS; APPROXIMATION ERRORS; CONTROL DESIGNS; DELAYED NONLINEAR SYSTEMS; DESIGN APPROACHES; DYNAMIC OUTPUT FEEDBACK CONTROLLERS; EXTERNAL DISTURBANCES; GLOBAL ASYMPTOTIC STABILITIES; LINEAR MATRIX INEQUALITY (LMI); LINEAR MATRIXES; LOOP SYSTEMS; MULTILAYER PERCEPTRON; NETWORK MODEL (SNNM); NEURAL CONTROL SYSTEMS; NEURAL-NETWORK; NOVEL NEURAL NETWORKS; OUTPUT FEEDBACK; OUTPUT FEEDBACKS; PARAMETRIC UNCERTAINTIES; PERFORMANCE ANALYSES; ROBUST H; SECTOR CONDITIONS; STANDARD NEURAL NETWORK MODELS; TIME- DELAYS; TIME-DELAY SYSTEM; UNCERTAIN NONLINEAR SYSTEMS;

NEURAL NETWORKS;

ANALYTICAL ERROR; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; CONFERENCE PAPER; CONTROLLED STUDY; FEEDBACK SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; NONLINEAR SYSTEM; PRIORITY JOURNAL; PROCESS DESIGN; PROCESS OPTIMIZATION; UNCERTAINTY;

EID: 56549124159     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.10.015     Document Type: Conference Paper

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