Nonlinear system identification using neural state space models, applicable to robust control design

International Journal of Control

Volumn 62, Issue 1, 1995, Pages 129-152

  Suykens, Johan A K ^a   De Moor, Bart L R ^a   Vandewalle, Joos ^a  

^a Katholieke Universiteit Leuven   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CONTROL SYSTEM SYNTHESIS; FEEDFORWARD NEURAL NETWORKS; KALMAN FILTERING; LEARNING ALGORITHMS; NONLINEAR CONTROL SYSTEMS; RANDOM PROCESSES; ROBUSTNESS (CONTROL SYSTEMS); STATE SPACE METHODS;

COST FUNCTION; LINEAR FRACTIONAL TRANSFORMATION; NEURAL STATE SPACE MODELS; NONLINEAR SYSTEM IDENTIFICATION; ROBUST CONTROL DESIGN;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 0029342651     PISSN: 00207179     EISSN: 13665820     Source Type: Journal    
DOI: 10.1080/00207179508921536     Document Type: Article

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