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04406nam a2200553 4500 |
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978-3-030-10389-7 |
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20191220125326.0 |
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190212s2019 gw | s |||| 0|eng d |
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|a 9783030103897
|9 978-3-030-10389-7
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|a 10.1007/978-3-030-10389-7
|2 doi
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|a TJ212-225
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|a TJFM
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|a 629.8
|2 23
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|a Radisavljević-Gajić, Verica.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|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.
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|a 1st ed. 2019.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2019.
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300 |
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|a XI, 214 p. 23 illus., 16 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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490 |
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|a Mechanical Engineering Series,
|x 0941-5122
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505 |
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|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.
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|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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|a Control engineering.
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|a Engineering design.
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|a Engines.
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|a Machinery.
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|a Energy storage.
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|a Control and Systems Theory.
|0 http://scigraph.springernature.com/things/product-market-codes/T19010
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|a Engineering Design.
|0 http://scigraph.springernature.com/things/product-market-codes/T17020
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|a Engine Technology.
|0 http://scigraph.springernature.com/things/product-market-codes/T17048
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|a Energy Storage.
|0 http://scigraph.springernature.com/things/product-market-codes/116000
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700 |
1 |
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|a Milanović, Miloš.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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700 |
1 |
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|a Rose, Patrick.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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|i Printed edition:
|z 9783030103880
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776 |
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|i Printed edition:
|z 9783030103903
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830 |
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|a Mechanical Engineering Series,
|x 0941-5122
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856 |
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|u https://doi.org/10.1007/978-3-030-10389-7
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-INR
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950 |
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|a Intelligent Technologies and Robotics (Springer-42732)
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