Online Hybrid Intelligent Tracking Control for Uncertain Nonlinear Dynamical Systems
學年 101
學期 1
發表日期 2012-09-18
作品名稱 Online Hybrid Intelligent Tracking Control for Uncertain Nonlinear Dynamical Systems
作品名稱(其他語言)
著者 Chien, Yi-Hsing; Wang, Wei-Yen; Li, I-Hsum; Lian, Kuang-Yow; Kou, Kuang-Yang; Lee, Tsu-Tian
作品所屬單位 淡江大學電機工程學系
出版者
會議名稱 International Conference on Advanced Mechatronic Systems (ICAMechS 2012)
會議地點 Tokyo, Japan
摘要 A novel online hybrid direct/indirect adaptive Petri fuzzy neural network (PFNN) controller with stare observer for a class of multi-input multi-output (MIMO) uncertain nonlinear systems is developed in the paper. By using the Lyapunov synthesis approach, the online observer-based tracking control law and the weight-update law of the adaptive hybrid intelligent controller are derived. According to the importance and viability of plant knowledge and control knowledge, a weighting factor is utilized to sum together the direct and indirect adaptive PFNN controllers. In this paper, we prove that the proposed online observer-based hybrid PFNN controller can guarantee that all signals involved are bounded and that the system outputs of the closed-loop system can track asymptotically the desired output trajectories. An example including four cases is illustrated to show the effectiveness of this approach.
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20120918~20120922
通訊作者
國別 JPN
公開徵稿 Y
出版型式 電子版
出處 Proceedings of the 2012 International Conference on Advanced Mechatronic Systems, pp.621-625
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