Adaptive feedback linearization using efficient neural networks

Journal of Intelligent and Robotic Systems: Theory and Applications

Volumn 31, Issue 1-3, 2001, Pages 253-281

  Yesildirek A ^a   Lewis, F L ^b  

^a GANNON UNIVERSITY   (United States)

^b UNIVERSITY OF TEXAS AT ARLINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; GREEN'S FUNCTION; LINEARIZATION; LYAPUNOV METHODS; MULTILAYER NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS); SYSTEM STABILITY;

ADAPTIVE FEEDBACK LINEARIZATION; CONTINUOUS-TIME NONLINEAR SYSTEM;

FEEDBACK CONTROL;

EID: 0035343073     PISSN: 09210296     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1012011226385     Document Type: Article

References (36)

1. For neural networks, function determines form
2. Indirect adaptive state feedback control of linearly parameterized nonlinear systems
3. Adaptive control of a class of nonlinear discrete-time systems using neural networks
4. Adaptively controlling nonlinear continuous-time systems using neural networks
5. Nonlinear adaptive control using networks of piecewise linear approximators
6. Approximation by superpositions of a sigmoidal function
7. On performance evaluation in on-line approximation for control
8. On the approximate realization of continuous mappings by neural networks
9. Multilayer feedforward networks are universal approximators
10. Systematic design of adaptive controllers for feedback linearizable systems
11. A hierarchical model for neural-network model for control and learning of voluntary movement
12. Some extensions of Lyapunov's second method
13. Multilayer neural net robot controller with guaranteed tracking performance
14. Robust control of a continuous stirred-tank reactor
15. Adaptive output-feedback control of nonlinear systems, Part II: Nonlinear parameterization
16. A model-reference adaptive control scheme for pure-feedback nonlinear systems
17. A new adaptation law for robust adaptation without persistent excitation
18. Bounded error adaptive control
19. A theory of networks for approximation and learning
20. Identification and control using neural network models: Design and stability analysis
21. New approaches to the dynamics of nonlinear systems with implications of process and control system design
22. Robustness of continuous-time adaptive control algorithms in the presence of unmodeled dynamics
23. Adaptive control of unknown plants using dynamical neural networks
24. Nonlinear identification and control via neural networks
25. Stable adaptive control and recursive identification using radial Gaussian networks
26. Universal approximation using feedforward networks with non-sigmoid hidden layer activation functions
27. Uniqueness of the weights for minimal feedforward nets with a given input-output map
28. Adaptive regulation of nonlinear systems with unmodeled dynamics
29. Indirect techniques for adaptive input output linearization of nonlinear systems
30. A bioreactor benchmark for adaptive network-based process control
31. Feedback linearization using neural networks