Abstract
This paper proposes a self-turning control scheme based on an artificial neural network (ANN) with accelerated evolutionary programming algorithm. The neural network is used to model the uncertainty process, from which the teacher signals are produced for online regulating the parameters of the controller. The accelerated evolutionary programming is used to train the neural network The experiment results show that the proposed control method can obviously improve the dynamic performance of the system with uncertainty.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - ISDA 2006 |
| Subtitle of host publication | Sixth International Conference on Intelligent Systems Design and Applications |
| Pages | 456-460 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2006 |
| Event | ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications - Jinan, China Duration: 16 Oct 2006 → 18 Oct 2006 |
Publication series
| Name | Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications |
|---|---|
| Volume | 1 |
Conference
| Conference | ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications |
|---|---|
| Country/Territory | China |
| City | Jinan |
| Period | 16/10/06 → 18/10/06 |
Keywords
- ANN
- Accelerated evolutionary programming
- Self-turning control
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Wang, P., Zhao, Q., & Yang, R. (2006). Using accelerated evolutionary programming in self-turning control for uncertainty systems. In Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications (pp. 456-460). Article 4021482 (Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications; Vol. 1). https://doi.org/10.1109/ISDA.2006.278