Title :
Fuzzy logic controller design: target tracking system and automobile control system
Author :
Chaudhuri, S.P. ; Chen, Ying
Author_Institution :
Sensor Data Integration Inc., Concord, MA, USA
Abstract :
This paper presents the theory of design of a fuzzy controller by using fuzzy reasoning. The controller is composed of a set of linguistic control rules which are conditional linguistic statements describing the algorithm for the process control as a fuzzy relation between information about the condition of the process to be controlled, and the input for the process. The fuzzy control theory has been used to design a controller for tracking a single target and for controlling the speed of an automobile. Some simulation results of these two controllers are presented in this paper
Keywords :
automobiles; computational linguistics; fuzzy control; target tracking; velocity control; automobile control system; conditional linguistic statements; fuzzy logic controller design; fuzzy reasoning; linguistic control rules; process control; target tracking system; Automobiles; Control systems; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Humans; Nonlinear control systems; Process control; Target tracking;
Conference_Titel :
Electro/94 International. Conference Proceedings. Combined Volumes.
Conference_Location :
Boston, MA
Print_ISBN :
0-7803-2630-X
DOI :
10.1109/ELECTR.1994.472685
