Nonlinear adaptive control using neural networks and multiple models

Automatica

Volumn 37, Issue 8, 2001, Pages 1245-1255

  Chen, Lingji ^a   Narendra, Kumpati S ^b  

^a SCIENTIFIC SYSTEMS COMPANY INC   (United States)

^b YALE UNIVERSITY   (United States)

Author keywords

Adaptive control; Multiple models; Neural networks; Nonlinear control; Performance; Robustness; Stability; Switching systems

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; COMPUTER AIDED ANALYSIS; CONTROL SYSTEM SYNTHESIS; DISCRETE TIME CONTROL SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS); SWITCHING SYSTEMS;

NONLINEAR ADAPTIVE CONTROL;

NONLINEAR CONTROL SYSTEMS;

EID: 0035427433     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0005-1098(01)00072-3     Document Type: Article

References (22)

1. Issues in the application of neural networks for tracking based on inverse control
2. Adaptive control of a class of nonlinear discrete-time systems using neural networks
3. Adaptively controlling nonlinear continuous-time systems using multilayer neural networks
4. On a new approach to the design of tracking controllers for nonlinear dynamical systems
5. Nonlinear adaptive control using networks of piecewise linear approximators
6. On the approximate realization of continuous mappings by neural networks
7. Multilayer discrete-time neural-net controller with guaranteed performance
8. Discrete-time neural net controller for a class of nonlinear dynamical systems
9. Nonlinear black-box models in system identification: Mathematical foundations
10. Stabilization of feedback linearizable systems using a radial basis function network
11. Neural networks for control: Theory and practice
12. Adaptive control using multiple models
13. L: Part I
14. Adaptive control of discrete-time systems using multiple models
15. Stable adaptive neural control scheme for nonlinear systems
16. Gaussian networks for direct adaptive control
17. Multiple neural-network-based adaptive controller using orthonormal activation function neural networks
18. Decentralized adaptive control of nonlinear systems using radial basis neural networks
19. Adaptive control of nonlinear dynamic systems using theta-adaptive neural networks