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A direct adaptive simultaneous perturbation stochastic approximation (DA SPSA) control system with a diagonal recurrent neural network (DRNN) controller is proposed. The DA SPSA control system with DRNN has simpler architecture and parameter vector size that is smaller than a feedforward neural network (FNN) controller. The simulation results show that it has a faster convergence rate than FNN controller. It results in a steady-state error and is sensitive to SPSA coefficients and termination condition. For trajectory control purpose, a hybrid control system scheme with a conventional PID controller is proposed
Published in:
Automatic Control, IEEE Transactions on
(Volume:44
,
Issue:
7
)
Date of Publication: Jul 1999
- Page(s):
- 1469 - 1473
- ISSN :
- 0018-9286
- INSPEC Accession Number:
- 6303126
- Digital Object Identifier :
- 10.1109/9.774125
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Jul 1999
- Sponsored by :
- IEEE Control Systems Society
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