The application of genetic algorithm on control of discrete multiple time- delay singularly perturbation systems

Shin Jang Pan, Jason Sheng-Hon Tsai

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

In this paper, we propose a new optimal control design algorithm with compact form for discrete multiple time-delay singularly perturbed systems by using the metagenetic algorithm. The corresponding compact slow and fast subsystems of the original discrete singularly perturbed system are first derived. The compact state feedback controllers for the slow and the fast subsystems are then separately designed by a metagenetic algorithm and then a composite state feedback controller for the original system is after synthesized. Finally, a ε -dependent stability condition in frequency domain for the original system under the compact composite state feedback controller is then considered. Stability of original system is confirmed by establishing that of its corresponding slow and fast subsystems if any one criteria of the condition is satisfied.

原文English
主出版物標題Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
頁面531-536
頁數6
DOIs
出版狀態Published - 2008 十二月 1
事件8th International Conference on Intelligent Systems Design and Applications, ISDA 2008 - Kaohsiung, Taiwan
持續時間: 2008 十一月 262008 十一月 28

出版系列

名字Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
2

Other

Other8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
國家Taiwan
城市Kaohsiung
期間08-11-2608-11-28

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Control and Systems Engineering

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  • 引用此

    Pan, S. J., & Tsai, J. S-H. (2008). The application of genetic algorithm on control of discrete multiple time- delay singularly perturbation systems. 於 Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008 (頁 531-536). [4696388] (Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008; 卷 2). https://doi.org/10.1109/ISDA.2008.117