國立高雄大學圖資館 |

Language: English

Back

Computational intelligence and optim...

Blondin, Maude Josee.

Computational intelligence and optimization methods for control engineering

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational intelligence and optimization methods for control engineeringedited by Maude Josee Blondin, Panos M. Pardalos, Javier Sanchis Saez.
other author:	Blondin, Maude Josee.
Published:	Cham :Springer International Publishing :2019.
Description:	xv, 355 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Computational intelligence.
Online resource:	https://doi.org/10.1007/978-3-030-25446-9
ISBN:	9783030254469$q(electronic bk.)

Computational intelligence and optimization methods for control engineering
Computational intelligence and optimization methods for control engineering[electronic resource] /edited by Maude Josee Blondin, Panos M. Pardalos, Javier Sanchis Saez. - Cham :Springer International Publishing :2019. - xv, 355 p. :ill., digital ;24 cm. - Springer optimization and its applications,v.1501931-6828 ;. - Springer optimization and its applications ;v. 3..

Foreword -- Preface. - Control engineering from classical to intelligent control theory - An overview (Blondin, Saez, Pardalos) -- Main metaheuristics used for the optimization of the control of the complex systems (Borne, Gharbi) -- Optimal controller parameter tuning from multi/many objective optimization algorithms (Altinoz) -- Fuzzy and neuro-fuzzy control for smart structures (Tairidis, Stavroulakis) -- Computational intelligence in the desalination industry (Cabrera, Carta) -- Control of complex biological systems utilizing the neural network predictor (Bamgbose, Li, Qian) -- A real-time big-data control-theoretical framework for cyber-physical-human systems (Gusrialdi, Xi, Qu, Simaan) -- Distributed optimization based control on the example of microgrids (Braun, Sauerteig, Worthmann) -- Coherency estimation in power systems: A Koopman operator approach (Chamorro, Ordonez, Peng, Gonzalez-Longatt, Sood) -- Appliance identification through non-intrusive load monitoring in residences (Gogos, Georgiou) -- Management suggestions for process control of semiconductor manufacturing: An operations research and data science perspective (Khakifirooz, Fathi, Chien, Pardalos) -- Feedback control algorithms for the dissipation of traffic waves with autonomous vehicles (Monache, Liard, Rat, Stern, Bhadani, Seibold, Sprinkle, Work, Piccoli) -- Disturbance rejection run-to-run controller for semiconductor manufacturing (Khakifirooz, Fathi, Pardalos) -- Energy management improvement based on fleet learning for hybrid electric buses (Lopez-Ibarra, Herrera, Milo, Gaztanaga, Camblong)

This volume presents some recent and principal developments related to computational intelligence and optimization methods in control. Theoretical aspects and practical applications of control engineering are covered by 14 self-contained contributions. Additional gems include the discussion of future directions and research perspectives designed to add to the reader's understanding of both the challenges faced in control engineering and the insights into the developing of new techniques. With the knowledge obtained, readers are encouraged to determine the appropriate control method for specific applications.

ISBN: 9783030254469$q(electronic bk.)

Standard No.: 10.1007/978-3-030-25446-9doiSubjects--Topical Terms:

210824
Computational intelligence.

LC Class. No.: Q342 / .C667 2019

Dewey Class. No.: 006.3

Computational intelligence and optimization methods for control engineering
LDR:03357nmm a2200349 a 4500 001 566491
003 DE-He213
005 20191223163446.0
006 m d
007 cr nn 008maaau
008 200429s2019 gw s 0 eng d
020 $a 9783030254469$q(electronic bk.)
020 $a 9783030254452$q(paper)
024 7 $a 10.1007/978-3-030-25446-9 $2 doi
035 $a 978-3-030-25446-9
040 $a GP $c GP
041 0 $a eng
050 4 $a Q342 $b .C667 2019
072 7 $a PBKQ $2 bicssc
072 7 $a MAT005000 $2 bisacsh
072 7 $a PBKQ $2 thema
072 7 $a PBU $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q342 $b .C738 2019
245 0 0 $a Computational intelligence and optimization methods for control engineering $h [electronic resource] / $c edited by Maude Josee Blondin, Panos M. Pardalos, Javier Sanchis Saez.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xv, 355 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer optimization and its applications, $x 1931-6828 ; $v v.150
505 0 $a Foreword -- Preface. - Control engineering from classical to intelligent control theory - An overview (Blondin, Saez, Pardalos) -- Main metaheuristics used for the optimization of the control of the complex systems (Borne, Gharbi) -- Optimal controller parameter tuning from multi/many objective optimization algorithms (Altinoz) -- Fuzzy and neuro-fuzzy control for smart structures (Tairidis, Stavroulakis) -- Computational intelligence in the desalination industry (Cabrera, Carta) -- Control of complex biological systems utilizing the neural network predictor (Bamgbose, Li, Qian) -- A real-time big-data control-theoretical framework for cyber-physical-human systems (Gusrialdi, Xi, Qu, Simaan) -- Distributed optimization based control on the example of microgrids (Braun, Sauerteig, Worthmann) -- Coherency estimation in power systems: A Koopman operator approach (Chamorro, Ordonez, Peng, Gonzalez-Longatt, Sood) -- Appliance identification through non-intrusive load monitoring in residences (Gogos, Georgiou) -- Management suggestions for process control of semiconductor manufacturing: An operations research and data science perspective (Khakifirooz, Fathi, Chien, Pardalos) -- Feedback control algorithms for the dissipation of traffic waves with autonomous vehicles (Monache, Liard, Rat, Stern, Bhadani, Seibold, Sprinkle, Work, Piccoli) -- Disturbance rejection run-to-run controller for semiconductor manufacturing (Khakifirooz, Fathi, Pardalos) -- Energy management improvement based on fleet learning for hybrid electric buses (Lopez-Ibarra, Herrera, Milo, Gaztanaga, Camblong)
520 $a This volume presents some recent and principal developments related to computational intelligence and optimization methods in control. Theoretical aspects and practical applications of control engineering are covered by 14 self-contained contributions. Additional gems include the discussion of future directions and research perspectives designed to add to the reader's understanding of both the challenges faced in control engineering and the insights into the developing of new techniques. With the knowledge obtained, readers are encouraged to determine the appropriate control method for specific applications.
650 0 $a Computational intelligence. $3 210824
650 1 4 $a Calculus of Variations and Optimal Control; Optimization. $3 274198
650 2 4 $a Control, Robotics, Mechatronics. $3 339147
650 2 4 $a Control Structures and Microprogramming. $3 274663
650 2 4 $a Systems Theory, Control. $3 274654
700 1 $a Blondin, Maude Josee. $3 852209
700 1 $a Pardalos, Panos M. $3 275700
700 1 $a Sanchis Saez, Javier. $3 852210
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Springer optimization and its applications ; $v v. 3. $3 440366
856 4 0 $u https://doi.org/10.1007/978-3-030-25446-9
950 $a Mathematics and Statistics (Springer-11649)