Title :
The design methodology for the multivariable fuzzy controller and its learning rule
Author :
Qin, Yong ; Jia, Li-min ; Zhang, Xi-Di
Author_Institution :
Res. Center for Intelligent Control, China Acad. of Railway Sci., Beijing, China
Abstract :
This paper puts forwards a new approach for the systematic design of a multivariable fuzzy control system. The concepts of sliding-mode control and control meta-knowledge are adopted to construct a general-purpose multivariable fuzzy controller, which has the following characteristics: the generalization and simplicity of the control rules; and adaptive ability. Moreover, based on fuzzy cell mapping, the controller can be formally represented, so the proposed adaptive scheme is built on the rigorous mathematical analysis. Finally, the simulation results demonstrate the availability of the proposed approach
Keywords :
adaptive control; control system synthesis; fuzzy control; generalisation (artificial intelligence); learning (artificial intelligence); mathematical analysis; multivariable control systems; variable structure systems; adaptive ability; control meta-knowledge; fuzzy cell mapping; generalization; learning rule; mathematical analysis; multivariable fuzzy controller design; simulation; sliding-mode control; Adaptive control; Control systems; Design methodology; Error correction; Fuzzy control; Fuzzy systems; Intelligent control; Mathematical analysis; Programmable control; Sliding mode control;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.672780
