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題名:  Fuzzyneuralbased control for nonlinear timevarying delay systems 
作者:  黃志良 
貢獻者:  淡江大學電機工程學系 
關鍵詞:  Fuzzy control;Fuzzy systems;Nonlinear control systems;Control systems;Time varying systems;Delay systems;Uncertainty;Fuzzy sets;Adaptive control;Robust control 
日期:  200712 
上傳時間:  20111015 01:06:36 (UTC+8) 
摘要:  In this paper, a partially known nonlinear dynamic system with timevarying delays of the input and state is approximated by fuzzybased linear subsystems described by a statespace model with average delay. To shape the response of the closedloop system, a set of fuzzy reference models is established. Similarly, the same fuzzy sets of the system rule are employed to design a fuzzy neuralbased control. The proposed control contains a radialbasis function neural network to learn the uncertainties caused by the approximation error of the fuzzy model (e.g., timevarying delays and parameter variations) and the interactions resulting from the other subsystems. As the norm of the switching surface is inside of a defined set, the learning law starts; in this situation, the proposed method is an adaptive control possessing an extra compensation of uncertainties. As it is outside of the other set, which is smaller than the aforementioned set, the learning law stops; under this circumstance, the proposed method becomes a robust control without the compensation of uncertainties. A transition between robust control and adaptive control is also assigned to smooth the possible discontinuity of the control input. No assumption about the upper bound of the timevarying delays for the state and the input is required. However, two timeaverage delays are needed to simplify the controller design: 1) the stabilized conditions for every transformed delayfree subsystem must be satisfied; and 2) the learning uncertainties must be relatively bounded. The stability of the overall system is verified by Lyapunov stability theory. Simulations as compared with a linear transformed state feedback with integration control are also arranged to consolidate the usefulness of the proposed control. 
關聯:  IEEE Transaction on Systems, Man & Cybernetics, Part B Cybernetics 37(6), pp.14711485 
DOI:  10.1109/TSMCB.2007.903448 
顯示於類別:  [電機工程學系暨研究所] 期刊論文

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