Robust nonlinear system identification using neural-network models

IEEE Transactions on Neural Networks

Volumn 9, Issue 3, 1998, Pages 407-429

  Lu, Songwu ^a,b   Başar, Tamer ^a,b  

^a IEEE   (United States)

^b University of Illinois at Urbana Champaign   (United States)

Author keywords

Backpropagation; Feedforward neural networks; H optimization; Identification; Nonlinear systems; Persistency of excitation; Perturbation method; Radial basis function networks

Indexed keywords

BACKPROPAGATION; FEEDFORWARD NEURAL NETWORKS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; OPTIMIZATION; PERTURBATION TECHNIQUES; ROBUSTNESS (CONTROL SYSTEMS);

EXCITATION PERSISTENCY; RADIAL BASIS FUNCTION NETWORKS;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 0032072395     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.668883     Document Type: Article

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