Title :
Fuzzy approach for disturbance reduction
Author :
Chiang, Hsin-Han ; Wu, Shinq-Jen ; Lee, Tsu-Tian
Author_Institution :
Dept. of Electr. & Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
The basic principles of the fuzzy set theory are applied to the signal restoration problems. The estimated values obtained form the fuzzy model are in the form of fuzzy numbers which present the possibility of the system structure. Both L-R and symmetric triangular type membership functions are employed to derive the fuzzy disturbance reduction. The quarter-car semi-active suspension system with unknown disturbance caused by roughness of road is provided to demonstrate the applicability and effectiveness of the proposed fuzzy algorithm in disturbance reduction problem.
Keywords :
fuzzy set theory; signal restoration; suspensions; disturbance reduction; fuzzy algorithm; fuzzy approach; fuzzy disturbance reduction; fuzzy set theory; quarter-car semiactive suspension system; signal restoration problems; symmetric triangular type membership; Colored noise; Filtering; Fuzzy set theory; Fuzzy systems; Kalman filters; Noise measurement; Pollution measurement; Roads; State estimation; Symmetric matrices;
Conference_Titel :
Computational Intelligence in Robotics and Automation, 2003. Proceedings. 2003 IEEE International Symposium on
Print_ISBN :
0-7803-7866-0
DOI :
10.1109/CIRA.2003.1222205
