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On the design and architecture of ad...
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Isaka, Satoru.
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On the design and architecture of adaptive fuzzy controllers and their application to a biomedical control problem.
Record Type:
Electronic resources : Monograph/item
Title/Author:
On the design and architecture of adaptive fuzzy controllers and their application to a biomedical control problem./
Author:
Isaka, Satoru.
Description:
160 p.
Notes:
Source: Dissertation Abstracts International, Volume: 50-12, Section: B, page: 5858.
Contained By:
Dissertation Abstracts International50-12B.
Subject:
Engineering, System Science. -
Online resource:
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.
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Isaka, Satoru.
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On the design and architecture of adaptive fuzzy controllers and their application to a biomedical control problem.
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160 p.
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Source: Dissertation Abstracts International, Volume: 50-12, Section: B, page: 5858.
500
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Chairman: Anthony V. Sebald.
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Thesis (Ph.D.)--University of California, San Diego, 1989.
520
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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.
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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.
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School code: 0033.
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Engineering, System Science.
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University of California, San Diego.
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1989
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9013708
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