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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/98849


    Title: Hybrid Intelligent Output-Feedback Control for Trajectory Tracking of Uncertain Nonlinear Multivariable Dynamical Systems
    Authors: Chien, Yi-Hsing;Wang, Wei-Yen;Li, I-Hsum;Lian, Kuang-Yow;Lee, Tsu-Tian
    Contributors: 淡江大學電機工程學系
    Keywords: output-feedback control;trajectory tracking;uncertain nonlinear systems
    Date: 2012-03-01
    Issue Date: 2014-09-24 09:38:56 (UTC+8)
    Publisher: 台北市:中華民國模糊學會
    Abstract: Output-feedback control for trajectory tracking is an important research topic of various engineering systems. In this paper, a novel online hybrid direct/indirect adaptive Petri fuzzy neural network (PFNN) controller with stare observer for uncertain nonlinear multivariable dynamical systems using generalized projection-update laws is presented. This new approach consists of control objectives determination, approximator configuration design, system dynamics modeling, online control algorithm development, and system stability analysis. 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. Therefore, the controller design methodology is more flexible during the design process. Besides, an improved generalized projection-update law is utilized to tune the adjustable parameters to prevent parameter drift. To illustrate the effectiveness of the proposed online hybrid PFNN controller and observer-design methodology, numerical simulation results for inverted pendulum systems and rigid robot manipulators are given in this paper.
    Relation: International Journal of Fuzzy Systems=模糊系統期刊 14(1), pp.141-153
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

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