標題：Fuzzyneuralbased control for nonlinear timevarying delay systems 

學年  96 

學期  1 

出版（發表）日期  2007/12/01 

作品名稱  Fuzzyneuralbased control for nonlinear timevarying delay systems 

作品名稱（其他語言）  

著者  黃志良 

單位  淡江大學電機工程學系 

出版者  

著錄名稱、卷期、頁數  IEEE Transaction on Systems, Man & Cybernetics, Part B Cybernetics 37(6), pp.14711485 

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. 

關鍵字  Fuzzy control;Fuzzy systems;Nonlinear control systems;Control systems;Time varying systems;Delay systems;Uncertainty;Fuzzy sets;Adaptive control;Robust control 

語言  英文(美國) 

ISSN  

期刊性質  國外 

收錄於  

產學合作  

通訊作者  

審稿制度  否 

國別  美國 

公開徵稿  

出版型式  ,電子版,紙本 

相關連結  


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