Title :
Fuzzy adaptive identification method based on Riccati equation and its application to ball-plate control system
Author :
Matsuo, Takami ; Tsuruta, Kenshi ; Suemitsu, Haruo
Author_Institution :
Dept. of Human Welfare Eng., Oita Univ., Japan
Abstract :
We propose a fuzzy adaptive identifier for SISO systems with nonlinearities in their input terms. First, we mention briefly the fuzzy basis function expansion and the fuzzy approximator and derive a fuzzy model of SISO plants with input nonlinearities. Next, an adaptation law is derived that does not require strictly positive realness. Moreover, an adaptive identifier of the fuzzy model is given by using the proposed adaptation law. Finally, we apply the fuzzy identifier to a ball-plate apparatus and investigate the performance of the proposed fuzzy identifier by MATLAB simulation and experiment
Keywords :
Riccati equations; adaptive control; control nonlinearities; fuzzy logic; fuzzy set theory; identification; position control; stability; MATLAB simulation; SISO systems; adaptation law; ball-plate control system; fuzzy adaptive identification method; fuzzy approximator; fuzzy basis function expansion; fuzzy mod; input nonlinearities; Adaptive control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Mathematical model; Programmable control; Riccati equations; Sliding mode control;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.816510