标题: Discrete-time optimal fuzzy controller design: Global concept approach
作者: Wu, SJ
Lin, CT
电控工程研究所
Institute of Electrical and Control Engineering
关键字: degree of stability;finite energy;gain margin;global minimum;Riccati-like equation;two-point-boundary-value-problem
公开日期: 1-二月-2002
摘要: In this paper, we propose a systematic and theoretically sound way to design a global optimal discrete-time fuzzy controller to control and stabilize a nonlinear discrete-time fuzzy system with finite or infinite horizon (time). A linear-like global system representation of discrete-time fuzzy system is first proposed by viewing a discrete-time fuzzy system in global concept and unifying the individual matrices into synthetical matrices. Then, based on this kind of system representation, the discrete-time optimal fuzzy control law which can achieve global minimum effect is developed theoretically. A nonlinear two-point-boundary-value-problem (TPBVP) is derived as the necessary and sufficient condition for the nonlinear quadratic optimal control problem. To simplify the computation, a multistage decomposition of optimization scheme is proposed and then a segmental recursive Riccati-like equation is derived. Moreover, in the case of time-invariant fuzzy systems, we show that the optimal controller can be obtained by just solving discrete-time algebraic Riccati-like equations. Grounding on this, several fascinating characteristics of the resultant closed-loop fuzzy system can be elicited easily. The stability of the closed-loop fuzzy system can be ensured by the designed optimal fuzzy controller. The optimal closed-loop fuzzy system can not only be guarantee to be exponentially stable, but also be stabilized to any desired degree. Also, the total energy of system output is absolutely finite. Moreover, the resultant closed-loop fuzzy system possesses an infinite gain margin; that is, its stability is guaranteed no matter how large the feedback gain becomes. An example is given to illustrate the proposed optimal fuzzy controller design approach and to demonstrate the proved stability properties.
URI: http://dx.doi.org/10.1109/91.983276
http://hdl.handle.net/11536/29050
ISSN: 1063-6706
DOI: 10.1109/91.983276
期刊: IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume: 10
Issue: 1
起始页: 21
结束页: 38
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