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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/98930

    Title: Online Hybrid Intelligent Tracking Control for Uncertain Nonlinear Dynamical Systems
    Authors: Chien, Yi-Hsing;Wang, Wei-Yen;Li, I-Hsum;Lian, Kuang-Yow;Kou, Kuang-Yang;Lee, Tsu-Tian
    Contributors: 淡江大學電機工程學系
    Date: 2012-09-18
    Issue Date: 2014-09-25 10:51:49 (UTC+8)
    Abstract: 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.
    Relation: Proceedings of the 2012 International Conference on Advanced Mechatronic Systems, pp.621-625
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

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