Title :
Learning and Decision-Making for Intelligent Control Systems
Author :
Shoureshi, Rahmat
Author_Institution :
School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907
Abstract :
A historical perspective of machine learning and decision-making is presented. Intelligent control system is defined and differentiated from conventional control systems. Three research studies involving development of intelligent control systems are briefly described. Mechanisms for learning and decision-making schemes in each study are discussed.
Keywords :
Automatic control; Automation; Control systems; Decision making; Expert systems; Intelligent control; Logic; Optimal control; Space technology; Tellurium;
Conference_Titel :
American Control Conference, 1990
Conference_Location :
San Diego, CA, USA
