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

Recent advances in control and filte...

Park, Ju H.

Recent advances in control and filtering of dynamic systems with constrained signals

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Recent advances in control and filtering of dynamic systems with constrained signalsby Ju H. Park ... [et al.].
其他作者:	Park, Ju H.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	xxvii, 226 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Control theory.
電子資源:	https://doi.org/10.1007/978-3-319-96202-3
ISBN:	9783319962023$q(electronic bk.)

Recent advances in control and filtering of dynamic systems with constrained signals
Recent advances in control and filtering of dynamic systems with constrained signals[electronic resource] /by Ju H. Park ... [et al.]. - Cham :Springer International Publishing :2019. - xxvii, 226 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.1702198-4182 ;. - Studies in systems, decision and control ;v.3..

This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system's stability and performance. This book discusses how to deal with such constraints to guarantee the system's design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques. This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.

ISBN: 9783319962023$q(electronic bk.)

Standard No.: 10.1007/978-3-319-96202-3doiSubjects--Topical Terms:

182248
Control theory.

LC Class. No.: QA402.3

Dewey Class. No.: 629.8312

Recent advances in control and filtering of dynamic systems with constrained signals
LDR:02531nmm a2200325 a 4500 001 562953
003 DE-He213
005 20191230110606.0
006 m d
007 cr nn 008maaau
008 200227s2019 gw s 0 eng d
020 $a 9783319962023$q(electronic bk.)
020 $a 9783319962016$q(paper)
024 7 $a 10.1007/978-3-319-96202-3 $2 doi
035 $a 978-3-319-96202-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.3
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 629.8312 $2 23
090 $a QA402.3 $b .R295 2019
245 0 0 $a Recent advances in control and filtering of dynamic systems with constrained signals $h [electronic resource] / $c by Ju H. Park ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xxvii, 226 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4182 ; $v v.170
520 $a This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system's stability and performance. This book discusses how to deal with such constraints to guarantee the system's design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques. This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.
650 0 $a Control theory. $3 182248
650 1 4 $a Control and Systems Theory. $3 825946
650 2 4 $a Computational Intelligence. $3 338479
700 1 $a Park, Ju H. $3 848265
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Studies in systems, decision and control ; $v v.3. $3 678532
856 4 0 $u https://doi.org/10.1007/978-3-319-96202-3
950 $a Intelligent Technologies and Robotics (Springer-42732)