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Type-2 fuzzy logic = uncertain syste...

Antao, Romulo.

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Type-2 fuzzy logic = uncertain systems' modeling and control /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Type-2 fuzzy logic/ by Romulo Antao.
其他題名:	uncertain systems' modeling and control /
作者:	Antao, Romulo.
出版者:	Singapore :Springer Singapore : : 2017.,
面頁冊數:	x, 130 p. :ill., digital ;24 cm.
內容註:	Introduction -- Fuzzy Logic Systems -- Takagi-Sugeno Fuzzy Logic Systems -- System Modeling using TS Fuzzy Logic Systems -- Model Predictive Control using Type-2 TS Fuzzy Logic Systems -- Processor-in-the-Loop simulation -- Conclusions.
Contained By:	Springer eBooks
標題:	Fuzzy logic. -
電子資源:	http://dx.doi.org/10.1007/978-981-10-4633-9
ISBN:	9789811046339

Type-2 fuzzy logic = uncertain systems' modeling and control /
Antao, Romulo.

Type-2 fuzzy logicuncertain systems' modeling and control /[electronic resource] :by Romulo Antao. - Singapore :Springer Singapore :2017. - x, 130 p. :ill., digital ;24 cm. - Nonlinear physical science,1867-8440. - Nonlinear physical science..

Introduction -- Fuzzy Logic Systems -- Takagi-Sugeno Fuzzy Logic Systems -- System Modeling using TS Fuzzy Logic Systems -- Model Predictive Control using Type-2 TS Fuzzy Logic Systems -- Processor-in-the-Loop simulation -- Conclusions.

This book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and control applications. It deepens readers'understanding of Type-2 Fuzzy Logic with regard to the following three topics: using simpler methods to train a Type-2 Takagi-Sugeno Fuzzy Model; using the principles of Type-2 Fuzzy Logic to reduce the influence of modeling uncertainties on a locally linear n-step ahead predictor; and developing model-based control algorithms according to the Generalized Predictive Control principles using Type-2 Fuzzy Sets. Throughout the book, theory is always complemented with practical applications and readers are invited to take their learning process one step farther and implement their own applications using the algorithms' source codes (provided) As such, the book offers avaluable referenceguide for allengineers and researchers in the field ofcomputer science who are interested in intelligent systems, rule-based systems and modeling uncertainty.

ISBN: 9789811046339

Standard No.: 10.1007/978-981-10-4633-9doiSubjects--Topical Terms:

532071
Fuzzy logic.

LC Class. No.: QA9.64

Dewey Class. No.: 511.313

Type-2 fuzzy logic = uncertain systems' modeling and control /
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