國立虎尾科技大學 |

Multi-Stage and Multi-Time Scale Feedback Control of Linear Systems with Applications to Fuel Cells

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multi-Stage and Multi-Time Scale Feedback Control of Linear Systems with Applications to Fuel Cells/ by Verica Radisavljević-Gajić, Miloš Milanović, Patrick Rose.
Author:	Radisavljević-Gajić, Verica.
other author:	Milanović, Miloš.
Description:	XI, 214 p. 23 illus., 16 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Control engineering. -
Online resource:	https://doi.org/10.1007/978-3-030-10389-7
ISBN:	9783030103897

Multi-Stage and Multi-Time Scale Feedback Control of Linear Systems with Applications to Fuel Cells
Radisavljević-Gajić, Verica.

Multi-Stage and Multi-Time Scale Feedback Control of Linear Systems with Applications to Fuel Cells[electronic resource] /by Verica Radisavljević-Gajić, Miloš Milanović, Patrick Rose. - 1st ed. 2019. - XI, 214 p. 23 illus., 16 illus. in color.online resource. - Mechanical Engineering Series,0941-5122. - Mechanical Engineering Series,.

Introduction -- Continuous-Time Two-Stage Feedback Controller Design -- Discrete-Time Two-Stage Feedback Controller Design -- Three-Stage Continuous-Time Feedback Controller Design -- Three-Stage Discrete-Time Feedback Controller Design -- Four-Stage Continuous-Time Feedback Controller Design -- Modelling and System Analysis of PEM Fuel Cells -- Control of a Hydrogen Gas Processing System -- Extensions to Multi-Stages and Multi-Time Scale -- References -- Index.

This book provides a comprehensive study of multi-stage and multi-time scale design of feedback controllers for linear dynamic systems. It examines different types of controllers as can be designed for different parts of the system (subsystems) using corresponding feedback gains obtained by performing calculations (design) only with subsystem (reduced-order) matrices.The advantages of the multi-stage/multi-time scale design are presented and conditions for implementation of these controllers are established. Complete derivations and corresponding design techniques are presented for two-stage/two-time-scale, three-stage/three-time scale, and four-stage/four-time-scale systems. The techniques developed have potential applications to a large number of real physical systems. The design techniques are demonstrated on examples of mathematical models of fuel cells, especially the proton exchange membrane fuel cell. Explains how different types of controllers can be designed for different parts of the system (subsystems) using feedback gains obtained by calculations (design) with only subsystem (reduced‐order) matrices; Illustrates a reduction of computational requirements because all numerical operations are done with matrices of the reduced‐order corresponding to the subsystems; Details how very accurate computations are performed with well‐conditioned lower‐order matrices; Discusses steps to facilitate robustness and reliability as well as improved feedback control loop security, important for cyber physical systems.

ISBN: 9783030103897

Standard No.: 10.1007/978-3-030-10389-7doiSubjects--Topical Terms:

1249728
Control engineering.

LC Class. No.: TJ212-225

Dewey Class. No.: 629.8

Multi-Stage and Multi-Time Scale Feedback Control of Linear Systems with Applications to Fuel Cells
LDR:03498nam a22003975i 4500 001 1015569
003 DE-He213
005 20200703103537.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030103897 $9 978-3-030-10389-7
024 7 $a 10.1007/978-3-030-10389-7 $2 doi
035 $a 978-3-030-10389-7
050 4 $a TJ212-225
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 629.8 $2 23
100 1 $a Radisavljević-Gajić, Verica. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1309726
245 1 0 $a Multi-Stage and Multi-Time Scale Feedback Control of Linear Systems with Applications to Fuel Cells $h [electronic resource] / $c by Verica Radisavljević-Gajić, Miloš Milanović, Patrick Rose.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XI, 214 p. 23 illus., 16 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Mechanical Engineering Series, $x 0941-5122
505 0 $a Introduction -- Continuous-Time Two-Stage Feedback Controller Design -- Discrete-Time Two-Stage Feedback Controller Design -- Three-Stage Continuous-Time Feedback Controller Design -- Three-Stage Discrete-Time Feedback Controller Design -- Four-Stage Continuous-Time Feedback Controller Design -- Modelling and System Analysis of PEM Fuel Cells -- Control of a Hydrogen Gas Processing System -- Extensions to Multi-Stages and Multi-Time Scale -- References -- Index.
520 $a This book provides a comprehensive study of multi-stage and multi-time scale design of feedback controllers for linear dynamic systems. It examines different types of controllers as can be designed for different parts of the system (subsystems) using corresponding feedback gains obtained by performing calculations (design) only with subsystem (reduced-order) matrices.The advantages of the multi-stage/multi-time scale design are presented and conditions for implementation of these controllers are established. Complete derivations and corresponding design techniques are presented for two-stage/two-time-scale, three-stage/three-time scale, and four-stage/four-time-scale systems. The techniques developed have potential applications to a large number of real physical systems. The design techniques are demonstrated on examples of mathematical models of fuel cells, especially the proton exchange membrane fuel cell. Explains how different types of controllers can be designed for different parts of the system (subsystems) using feedback gains obtained by calculations (design) with only subsystem (reduced‐order) matrices; Illustrates a reduction of computational requirements because all numerical operations are done with matrices of the reduced‐order corresponding to the subsystems; Details how very accurate computations are performed with well‐conditioned lower‐order matrices; Discusses steps to facilitate robustness and reliability as well as improved feedback control loop security, important for cyber physical systems.
650 0 $a Control engineering. $3 1249728
650 0 $a Engineering design. $3 560518
650 0 $a Engines. $3 1253521
650 0 $a Machinery. $3 990113
650 0 $a Energy storage. $3 677971
650 1 4 $a Control and Systems Theory. $3 1211358
650 2 4 $a Engineering Design. $3 670857
650 2 4 $a Engine Technology. $3 881220
650 2 4 $a Energy Storage. $3 784791
700 1 $a Milanović, Miloš. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1309727
700 1 $a Rose, Patrick. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1309728
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030103880
776 0 8 $i Printed edition: $z 9783030103903
830 0 $a Mechanical Engineering Series, $x 0941-5122 $3 1265140
856 4 0 $u https://doi.org/10.1007/978-3-030-10389-7
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)