عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9789048146529
(Number (ISBN
9789401586405
NATIONAL BIBLIOGRAPHY NUMBER
Number
b408369
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Distributed Fuzzy Control of Multivariable Systems
General Material Designation
[Book]
First Statement of Responsibility
by Alexander Gegov.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Dordrecht :
Name of Publisher, Distributor, etc.
Imprint: Springer,
Date of Publication, Distribution, etc.
1996.
SERIES
Series Title
International Series in Intelligent Technologies,
Volume Designation
6
ISSN of Series
1382-3434 ;
CONTENTS NOTE
Text of Note
1. Introduction -- 2. Dimensional reduction of fuzzy relations in multivariable control systems -- 3. Decomposition of multivariable systems for distributed fuzzy control -- 4. Hierarchical fuzzy control of multivariable systems -- 5. Decentralized fuzzy control of multivariable systems by passive decomposition -- 6. Decentralized fuzzy control of multivariable systems by active decomposition -- 7. Decentralized fuzzy control of multivariable systems by direct decomposition -- 8. Multilayer fuzzy control of multivariable systems by passive decomposition -- 9. Multilayer fuzzy control of multivariable systems by active decomposition -- 10. Multilayer fuzzy control of multivariable systems by direct decomposition -- 11. Distributed fuzzy fault diagnosis in multivariable control systems -- 12. Conclusions -- References.
0
SUMMARY OR ABSTRACT
Text of Note
It is known that many control processes are characterized by both quantitative and qualitative complexity. Tbe quantitative complexity is usually expressed in a large number of state variables, respectively high dimensional mathematical model. Tbe qualitative complexity is usually associated with uncertain behaviour, respectively approximately known mathematical model. If the above two aspects of complexity are considered separately, the corresponding control problem can be easily solved. On one hand, large scale systems theory has existed for more than 20 years and has proved its capabilities in solving high dimensional control problems on the basis of decomposition, hierarchy, decentralization and multilayers. On the other hand, the fuzzy linguistic approach is almost at the same age and has shown its advantages in solving approximately formulated control problems on the basis of linguistic reasoning and logical inference. However, if both aspects of complexity are considered together, the corresponding control problem becomes non-trivial and does not have an easy solution. Modem control theory and practice have reacted accordingly to the above mentioned new cballenges of tbe day by utilizing the latest achievements in computer technology and artificial intelligence distributed computation and intelligent operation. In this respect, a new field has emerged in the last decade, called " Distributed intelligent control systems" . However, the majority of the familiar works in this field are still either on an empirical or on a conceptual level and this is a significant drawback.
OTHER EDITION IN ANOTHER MEDIUM
International Standard Book Number
9789048146529
PIECE
Title
Springer eBooks
TOPICAL NAME USED AS SUBJECT
Computer engineering.
Logic, Symbolic and mathematical.
Mathematics.
Mechanical engineering.
Systems theory.
PERSONAL NAME - PRIMARY RESPONSIBILITY
Gegov, Alexander.
CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY
SpringerLink (Online service)
ORIGINATING SOURCE
Date of Transaction
20190301080900.0
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
