عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
شابک
شابک
9789048146529
شابک
9789401586405
شماره کتابشناسی ملی
شماره
b408369
عنوان و نام پديدآور
عنوان اصلي
Distributed Fuzzy Control of Multivariable Systems
نام عام مواد
[Book]
نام نخستين پديدآور
by Alexander Gegov.
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Dordrecht :
نام ناشر، پخش کننده و غيره
Imprint: Springer,
تاریخ نشرو بخش و غیره
1996.
فروست
عنوان فروست
International Series in Intelligent Technologies,
مشخصه جلد
6
شاپا ي ISSN فروست
1382-3434 ;
یادداشتهای مربوط به مندرجات
متن يادداشت
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.
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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.
ویراست دیگر از اثر در قالب دیگر رسانه
شماره استاندارد بين المللي کتاب و موسيقي
9789048146529
قطعه
عنوان
Springer eBooks
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Computer engineering.
موضوع مستند نشده
Logic, Symbolic and mathematical.
موضوع مستند نشده
Mathematics.
موضوع مستند نشده
Mechanical engineering.
موضوع مستند نشده
Systems theory.
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )
مستند نام اشخاص تاييد نشده
Gegov, Alexander.
نام تنالگان _ (مسئولیت معنوی برابر)
مستند نام تنالگان تاييد نشده
SpringerLink (Online service)
مبدا اصلی
تاريخ عمليات
20190301080900.0
دسترسی و محل الکترونیکی
نام الکترونيکي
مطالعه متن کتاب اطلاعات رکورد کتابشناسی
نوع ماده
[Book]
اطلاعات دسترسی رکورد
تكميل شده
Y
