Title :
Intelligent control for robotic and mechatronic systems-a review
Author_Institution :
Dept. of Mech. Eng., Saga Univ., Japan
Abstract :
From the view point of intelligent control, several control methods are reviewed for the control of robots such as manipulators and mobile robots. In particular, neural network-based control, fuzzy control, and genetic algorithm-based control are discussed as intelligent control approaches without using model information
Keywords :
fuzzy control; genetic algorithms; intelligent control; manipulators; mechatronics; mobile robots; neurocontrollers; fuzzy control; genetic algorithm-based control; intelligent control; manipulators; mechatronics; mobile robots; neural network-based control; Control systems; Intelligent control; Intelligent robots; Mechatronics; Mobile robots; Neural networks; Nonlinear control systems; Robot control; Sliding mode control; Torque control;
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-3280-6
DOI :
10.1109/ICSMC.1996.569788
