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Design of fuzzy controllers to achie...

Kolodziej, Cezary.

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Design of fuzzy controllers to achieve closed-loop system performance specifications.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Design of fuzzy controllers to achieve closed-loop system performance specifications./
作者:	Kolodziej, Cezary.
面頁冊數:	211 p.
附註:	Source: Dissertation Abstracts International, Volume: 58-11, Section: B, page: 6133.
Contained By:	Dissertation Abstracts International58-11B.
標題:	Artificial Intelligence. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9815167
ISBN:	0591663341

Design of fuzzy controllers to achieve closed-loop system performance specifications.
Kolodziej, Cezary.

Design of fuzzy controllers to achieve closed-loop system performance specifications. - 211 p.

Source: Dissertation Abstracts International, Volume: 58-11, Section: B, page: 6133.

Thesis (Ph.D.)--University of Illinois at Chicago, 1997.

Usually, a fuzzy logic controller design is based on ad hoc techniques, because at present there are no widely accepted systematic procedures for the design of fuzzy logic controllers. Trial and error methods are used to achieve acceptable performance. Often, the problems with tuning a fuzzy logic controller are related to contradictory information, or incomplete control knowledge in the fuzzy rule base of the fuzzy logic controller. A goal here is to state performance objectives of the closed-loop system in the form of IF-THEN statements, and use them to design a rule base of the fuzzy logic controller. This follows the underlying concept of fuzzy control, where all control variables are based on linguistic variables. This way of describing closed-loop system behavior is easily understandable by humans and speeds up the design process.

ISBN: 0591663341Subjects--Topical Terms:

769149
Artificial Intelligence.

Design of fuzzy controllers to achieve closed-loop system performance specifications.
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500 $a Source: Dissertation Abstracts International, Volume: 58-11, Section: B, page: 6133.
502 $a Thesis (Ph.D.)--University of Illinois at Chicago, 1997.
520 $a Usually, a fuzzy logic controller design is based on ad hoc techniques, because at present there are no widely accepted systematic procedures for the design of fuzzy logic controllers. Trial and error methods are used to achieve acceptable performance. Often, the problems with tuning a fuzzy logic controller are related to contradictory information, or incomplete control knowledge in the fuzzy rule base of the fuzzy logic controller. A goal here is to state performance objectives of the closed-loop system in the form of IF-THEN statements, and use them to design a rule base of the fuzzy logic controller. This follows the underlying concept of fuzzy control, where all control variables are based on linguistic variables. This way of describing closed-loop system behavior is easily understandable by humans and speeds up the design process.
520 $a Based on a new fuzzy relation calculation to obtain the closed-loop system fuzzy relation, and assuming that there exists at least one fuzzy logic controller meeting closed-loop system requirements in the form of a fuzzy relation, a fuzzy logic controller design algorithm is given.
520 $a An important issue of closed-loop system stability is also considered. The concept of a bounded linguistic variable is incorporated with the so called practical stability theorem. The resulting practical stability theorem is applied to design a fuzzy logic controller that achieves a stable closed-loop system that meets linguistic performance specifications.
520 $a Even though a linguistic model of a plant is more general and more robust with respect to parameter changes than its standard mathematical model, it becomes invalid if system parameters and disturbances change drastically. If this is the case, another linguistic model of the plant must be used for design purposes, and a new fuzzy logic controller must be designed. To make a fuzzy logic controller more robust to disturbances and parameter changes, a new technique is proposed to design the so called overlapping semi-dynamic fuzzy logic controller that accounts for drastic system disturbances and parameter changes. Illustrative examples are also included.
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