DocumentCode :
330297
Title :
Adaptive critic control and functional link neural networks
Author :
Cox, C. ; Saeks, R.
Author_Institution :
Accurate Autom. Corp., Chattanooga, TN, USA
Volume :
2
fYear :
1998
fDate :
11-14 Oct 1998
Firstpage :
1652
Abstract :
An adaptive critic neural control algorithm, employing an analytic relationship between the optimal cost function and the optimal control law is defined. This approach reduces the complexity of the adaptive critic algorithm, by replacing the iteration on the control law with the solution of a nonlinear equation, while simultaneously facilitating the development of stability and robustness criteria. The resultant algorithm can be implemented without a priori knowledge of the plant dynamics, yielding an adaptive control algorithm which does not require an explicit system identification process. Finally, the algorithm is specialized to the linear case where it is realized by a system of three coupled functional link neural networks
Keywords :
adaptive control; computational complexity; iterative methods; neurocontrollers; optimal control; robust control; stability criteria; adaptive critic neural control algorithm; functional link neural networks; iteration; nonlinear equation; optimal control law; optimal cost function; robustness criterion; stability criterion; Adaptive control; Adaptive systems; Algorithm design and analysis; Cost function; Neural networks; Nonlinear equations; Optimal control; Programmable control; Robust stability; Stability criteria;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
ISSN :
1062-922X
Print_ISBN :
0-7803-4778-1
Type :
conf
DOI :
10.1109/ICSMC.1998.728126
Filename :
728126
Link To Document :
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