Title :
Fuzzy control engineering: reality and challenges
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
Abstract :
The paper addresses key issues of analysis, design, and utilization of fuzzy control and fuzzy controllers, in particular. As the development in this area is clustered around experiential or model-based control, those two avenues are discussed in detail and carefully contrasted with regard to their generality, adaptability, and applicability. Hybrid structures involving fuzzy coordinators (task and gain schedulers) are investigated. Learning and adaptation aspects are also covered
Keywords :
control system analysis; control system synthesis; fuzzy control; intelligent control; learning (artificial intelligence); adaptability; fuzzy control; fuzzy coordinators; gain schedulers; learning aspect; model-based control; task scheduler; Algorithm design and analysis; Control engineering; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Humans; Job shop scheduling; Logic design; Streaming media;
Conference_Titel :
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2461-7
DOI :
10.1109/FUZZY.1995.409724
