Deterministic learning and nonlinear observer design

Asian Journal of Control

Volumn 12, Issue 6, 2010, Pages 714-724

  Wang, Cong ^a   Hill, David J ^b  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

Deterministic learning (DL); Locally accurate identification; Non high gain observer; Partial persistent excitation (PE) condition; Radial basis function networks (RBFN)

Indexed keywords

FUNCTIONS; NONLINEAR SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; RECURRENT NEURAL NETWORKS; STATE ESTIMATION; SYSTEM THEORY;

DETERMINISTIC LEARNING; HIGH- GAIN OBSERVERS; IDENTIFICATION OF SYSTEMS; NON-LINEAR SYSTEM DYNAMICS; NONLINEAR OBSERVER DESIGN; PARTIAL PERSISTENT EXCITATION; PERSISTENCE OF EXCITATION; RADIAL BASIS FUNCTION NETWORKS (RBFN);

EXCITED STATES;

EID: 79952482828     PISSN: 15618625     EISSN: None     Source Type: Journal    
DOI: 10.1002/asjc.248     Document Type: Article

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