Fuzzy control engineering: reality and challenges

Author

Pedrycz, Witold

Author_Institution

Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada

Volume

2

fYear

1995

fDate

20-24 Mar 1995

Firstpage

437

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/FUZZY.1995.409724

Filename

409724