國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Type-2 fuzzy logicuncertain systems'...

Antao, Romulo.

Type-2 fuzzy logicuncertain systems' modeling and control /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Type-2 fuzzy logicby 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.
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$q(electronic bk.)

Type-2 fuzzy logicuncertain 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$q(electronic bk.)

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

181981
Fuzzy logic.

LC Class. No.: QA9.64

Dewey Class. No.: 511.313

Type-2 fuzzy logicuncertain systems' modeling and control /
LDR:02215nmm a2200325 a 4500 001 520474
003 DE-He213
005 20170723145702.0
006 m d
007 cr nn 008maaau
008 180425s2017 si s 0 eng d
020 $a 9789811046339$q(electronic bk.)
020 $a 9789811046322$q(paper)
024 7 $a 10.1007/978-981-10-4633-9 $2 doi
035 $a 978-981-10-4633-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA9.64
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
082 0 4 $a 511.313 $2 23
090 $a QA9.64 $b .A627 2017
100 1 $a Antao, Romulo. $3 789793
245 1 0 $a Type-2 fuzzy logic $h [electronic resource] : $b uncertain systems' modeling and control / $c by Romulo Antao.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2017.
300 $a x, 130 p. : $b ill., digital ; $c 24 cm.
490 1 $a Nonlinear physical science, $x 1867-8440
505 0 $a 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.
520 $a 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.
650 0 $a Fuzzy logic. $3 181981
650 1 4 $a Engineering. $3 210888
650 2 4 $a Control. $3 349080
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Information Systems Applications (incl. Internet) $3 530743
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Nonlinear physical science. $3 594745
856 4 0 $u http://dx.doi.org/10.1007/978-981-10-4633-9
950 $a Physics and Astronomy (Springer-11651)