東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

On the design and architecture of ad...

Isaka, Satoru.

FindBook

Google Book

Amazon

博客來

On the design and architecture of adaptive fuzzy controllers and their application to a biomedical control problem.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	On the design and architecture of adaptive fuzzy controllers and their application to a biomedical control problem./
作者:	Isaka, Satoru.
面頁冊數:	160 p.
附註:	Source: Dissertation Abstracts International, Volume: 50-12, Section: B, page: 5858.
Contained By:	Dissertation Abstracts International50-12B.
標題:	Engineering, System Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9013708

On the design and architecture of adaptive fuzzy controllers and their application to a biomedical control problem.
Isaka, Satoru.

On the design and architecture of adaptive fuzzy controllers and their application to a biomedical control problem. - 160 p.

Source: Dissertation Abstracts International, Volume: 50-12, Section: B, page: 5858.

Thesis (Ph.D.)--University of California, San Diego, 1989.

Fuzzy control is a knowledge-based control scheme in which membership functions of physical variables are used to cope with uncertainty in process dynamics or signal measurements. It is effective for solving complex control problems where a human operator performs better than model-based controllers. This dissertation considers a fuzzy controller and issues associated with its design and improvements toward adaptivity.Subjects--Topical Terms:

1018128
Engineering, System Science.

On the design and architecture of adaptive fuzzy controllers and their application to a biomedical control problem.
LDR:02730nmm 2200301 4500 001 1859293
005 20041014084346.5
008 130614s1989 eng d
035 $a (UnM)AAI9013708
035 $a AAI9013708
040 $a UnM $c UnM
100 1 $a Isaka, Satoru. $3 1946956
245 1 0 $a On the design and architecture of adaptive fuzzy controllers and their application to a biomedical control problem.
300 $a 160 p.
500 $a Source: Dissertation Abstracts International, Volume: 50-12, Section: B, page: 5858.
500 $a Chairman: Anthony V. Sebald.
502 $a Thesis (Ph.D.)--University of California, San Diego, 1989.
520 $a Fuzzy control is a knowledge-based control scheme in which membership functions of physical variables are used to cope with uncertainty in process dynamics or signal measurements. It is effective for solving complex control problems where a human operator performs better than model-based controllers. This dissertation considers a fuzzy controller and issues associated with its design and improvements toward adaptivity.
520 $a A knowledge-based control method, fuzzy control, is developed and a prototype fuzzy controller for blood pressure regulation is presented.
520 $a One of the major issues in fuzzy control, evaluation of membership functions for fuzzy sets, is considered in detail. A high-dimensional numerical optimization algorithm is developed for computer aided design of fuzzy controllers. Its effectiveness is investigated via simulation, and the relationship between membership functions and controller performance is discussed in the context of a case study.
520 $a Another issue in fuzzy control, adaptivity, is considered. An architecture for an adaptive mechanism suitable for fuzzy controllers is presented. The approach of choice uses an on-line expert auto-tuning strategy in which membership functions of the fuzzy controller are modified according to both controller performance and process dynamics evaluation. Resulting adaptive fuzzy control algorithms are evaluated via simulation on a complex control problem, closed-loop control of physiological systems.
520 $a As a prelude, the literature on biomedical application of closed-loop control published during period 1950-1989 is reviewed to identify the issues which are important for both control theory and clinical success. An effective use of knowledge is seen to be crucial for future success in this application.
590 $a School code: 0033.
650 4 $a Engineering, System Science. $3 1018128
690 $a 0790
710 2 0 $a University of California, San Diego. $3 1018093
773 0 $t Dissertation Abstracts International $g 50-12B.
790 1 0 $a Sebald, Anthony V., $e advisor
790 $a 0033
791 $a Ph.D.
792 $a 1989
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9013708