Feedback linearization using neural networks

Automatica

Volumn 31, Issue 11, 1995, Pages 1659-1664

  Yesildirek A ^a   Lewis, F L ^a  

^a UNIVERSITY OF TEXAS AT ARLINGTON   (United States)

Author keywords

Feedback linearization; neural networks; robust adaptive control

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; CLOSED LOOP CONTROL SYSTEMS; CONTROL SYSTEM SYNTHESIS; CONTROL THEORY; ERRORS; FEEDBACK; FUNCTIONS; LYAPUNOV METHODS; NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; PERFORMANCE; ROBUSTNESS (CONTROL SYSTEMS);

CONTROL ACTION; CONTROL STRUCTURE; FEEDBACK LINEARIZATION; NETWORK WEIGHTS; ROBUST-ADAPTIVE CONTROL; SINGLE-INPUT SINGLE-OUTPUT CONTINUOUS-TIME NONLINEAR SYSTEMS; STABILITY PROOF;

LINEARIZATION;

EID: 0029408590     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/0005-1098(95)00078-B     Document Type: Article

References (13)

1. Indirect adaptive state feedback control of linearly parametrized nonlinear systems
2. Adaptively controlling nonlinear continuous-time systems using neural networks
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7. Adaptive output-feedback control of nonlinear systems, part II: nonlinear parametrization
8. A new adaptation law for robust adaptation without persistent excitation
9. Identification and control using neural network models: design and stability analysis
10. A perceptron network for functional identification and control of nonlinear systems
11. Stable adaptive control and recursive identification using radial gaussian networks
12. Adaptive regulation of nonlinear systems with unmodeled dynamics