Identification and control of a nonlinear discrete-time system based on its linearization: A unified framework

IEEE Transactions on Neural Networks

Volumn 15, Issue 3, 2004, Pages 663-673

  Chen, Lingji ^a   Narendra, Kumpati S ^b  

^a SCIENTIFIC SYSTEMS COMPANY INC   (United States)

^b YALE UNIVERSITY   (United States)

Author keywords

Control; Discrete time; Identification; Linearization; Neural networks; Nonlinear autoregressive moving average (NARMA) model; Nonlinear dynamical systems; Normal form; Tracking

Indexed keywords

CONTROLLABILITY; DISCRETE TIME CONTROL SYSTEMS; IDENTIFICATION (CONTROL SYSTEMS); LINEARIZATION; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; OBSERVABILITY; REGRESSION ANALYSIS; SYSTEM STABILITY;

DISCRETE TIME IDENTIFICATION; NONLINEAR AUTOREGRESSIVE MOVING-AVERAGE MODEL; NONLINEAR DYNAMICAL SYSTEMS;

NEURAL NETWORKS;

ARTICLE; NONLINEAR SYSTEM; STATISTICAL MODEL; TIME;

LINEAR MODELS; NONLINEAR DYNAMICS; TIME FACTORS;

EID: 2542528501     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2004.826206     Document Type: Article

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