Title :
Adaptive fuzzy inverse control
Author :
Miao, Zhinong ; Zheng, Huijun
Author_Institution :
Sch. of Inf. & Electron. Eng., Panzhihua Univ., Panzhihua, China
Abstract :
A new fuzzy system architecture named Adaptive Inverse Fuzzy Control (AFIC) is prompted. Adaptive inverse control, which is introduced by Bernard Widrow and Eugene Walach, is an efficient control theory for dynamic systems. It is also can be used to fuzzy system design. This paper proposes fuzzy system architecture based on the basic idea of AFIC and discusses some basic problems, including a new description of fuzzy model, acquiring of fuzzy model, and controller design method via adaptive inverse control theory. To show the correctness and the efficiency of the new fuzzy system, a real dynamic system is constructed based on the prompted method and the numeric simulation is presented.
Keywords :
adaptive control; control system synthesis; fuzzy control; fuzzy systems; numerical analysis; AFIC; adaptive fuzzy inverse control; adaptive inverse control theory; adaptive inverse fuzzy control; controller design method; dynamic systems; fuzzy model; fuzzy system architecture; fuzzy system design; numeric simulation; Adaptation models; Adaptive systems; Fuzzy systems; Mathematical model; Noise; Pragmatics; Transforms; adaptive fuzzy control; fuzzy system architecture; inverse control;
Conference_Titel :
Computer and Information Application (ICCIA), 2010 International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-8597-0
DOI :
10.1109/ICCIA.2010.6141568
