Title :
Robust fuzzy control for a class of dynamic systems with unmeasurable disturbances
Author_Institution :
Dept. of Inf. & Behavioral Sci., Hiroshima Univ., Japan
Abstract :
This paper proposes a robust inferential control for a class of dynamic systems with unmeasurable disturbances using fuzzy logic. The new method synthesized fuzzy logic and inferential control is more effective than conventional feedback control and general inferential control for a class of dynamic systems with unmeasurable disturbances. At the same time, this paper produces some sufficient robust stability conditions for the systems, and improves anti-interference performance of the proposed control systems. Finally, the authors give an illustrative example to demonstrate the validity of their results by comparing three solutions
Keywords :
control system synthesis; fuzzy control; fuzzy logic; robust control; anti-interference performance; dynamic systems; fuzzy logic; robust fuzzy control; robust inferential control; sufficient robust stability conditions; unmeasurable disturbances; Behavioral science; Cities and towns; Control system synthesis; Control systems; Equations; Filters; Fuzzy control; Fuzzy logic; Process control; Robust control;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1994. IECON '94., 20th International Conference on
Conference_Location :
Bologna
Print_ISBN :
0-7803-1328-3
DOI :
10.1109/IECON.1994.398072