Neural network based adaptive dynamic surface control for nonlinear systems in strict-feedback form

Proceedings of the IEEE Conference on Decision and Control

Volumn 4, Issue , 2001, Pages 3524-3529

  Wang, Dan ^a   Huang, Jie ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ALGORITHMS; BOUNDARY CONDITIONS; CLOSED LOOP CONTROL SYSTEMS; COMPUTATIONAL COMPLEXITY; CONTROL NONLINEARITIES; CONTROL SYSTEM ANALYSIS; FEEDBACK; NEURAL NETWORKS; SYSTEM STABILITY; UNCERTAIN SYSTEMS;

BACKSTEPPING DESIGN; DYNAMIC SURFACE CONTROL; EXPLOSION OF COMPLEXITY; STRICT-FEEDBACK FORM;

NONLINEAR CONTROL SYSTEMS;

EID: 0035713865     PISSN: 01912216     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Adaptively controlling nonlinear continuous-time systems using multilayer neural networks
2. Approximation capabilities of multilayer feedforward networks
3. Systematic design of adaptive controllers for feedback linearizable systems
4. Robust neural-net control of rigid-link electrically driven robots
5. Multilayer neural-net robot controller with guaranteed tracking performance
6. A new adaptive law for robust adaptation without persistent excitation
7. Universal approximation using radial-basis-function networks
8. Stable adaptive neural scheme for nonlinear systems
9. Stable adaptive tracking of uncertainty systems using nonlinearly parameterized on-line approximators
10. Gaussian networks for direct adaptive control
11. Adaptive control of linearizable systems
12. Dynamic surface control of nonlinear systems
13. Dynamic surface control for a class of nonlinear systems
14. Adaptive dynamic surface control: A simplified algorithm for adaptive backstepping control of nonlinear systems
15. Adaptive neural network control for strict-feedback nonlinear systems using backstepping design
16. Neural network based adaptive tracking of uncertain nonlinear systems in triangular form