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Multi-stage and multi-time scale fee...

Milanovic, Milos.

Multi-stage and multi-time scale feedback control of linear systems with applications to fuel cells

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multi-stage and multi-time scale feedback control of linear systems with applications to fuel cellsby Verica Radisavljevic-Gajic, Milos Milanovic, Patrick Rose.
作者:	Radisavljevic-Gajic, Verica.
其他作者:	Milanovic, Milos.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	xi, 214 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Feedback control systems.
電子資源:	https://doi.org/10.1007/978-3-030-10389-7
ISBN:	9783030103897$q(hardback)

Multi-stage and multi-time scale feedback control of linear systems with applications to fuel cells
Radisavljevic-Gajic, Verica.

Multi-stage and multi-time scale feedback control of linear systems with applications to fuel cells[electronic resource] /by Verica Radisavljevic-Gajic, Milos Milanovic, Patrick Rose. - Cham :Springer International Publishing :2019. - xi, 214 p. :ill., digital ;24 cm. - 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$q(hardback)

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

182018
Feedback control systems.

LC Class. No.: TJ216 / .R335 2019

Dewey Class. No.: 629.83

Multi-stage and multi-time scale feedback control of linear systems with applications to fuel cells
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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.
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