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Materials phase change PDE control &...

Koga, Shumon.

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Materials phase change PDE control & estimation = from additive manufacturing to polar ice /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Materials phase change PDE control & estimation/ by Shumon Koga, Miroslav Krstic.
Reminder of title:	from additive manufacturing to polar ice /
Author:	Koga, Shumon.
other author:	Krstic, Miroslav.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xiii, 352 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Preface -- Phase-Change Model - Stefan Problem -- Part I: Design and Analysis -- State Feedback Control Design -- State Estimation Design -- Extended Models and Design -- Two-Phase Stefan Problem -- Sampled-Data Design -- Open Problems -- Part II: Applications and Experiment -- Sea Ice -- Lithium-Ion Batteries -- Polymer 3D-Printing via Screw Extrusion -- Metal 3D-Printing via Selective Laser Sintering -- Experimental Study using PCM -- Open Problems.
Contained By:	Springer Nature eBook
Subject:	Differential equations, Partial. -
Online resource:	https://doi.org/10.1007/978-3-030-58490-0
ISBN:	9783030584900

Materials phase change PDE control & estimation = from additive manufacturing to polar ice /
Koga, Shumon.

Materials phase change PDE control & estimationfrom additive manufacturing to polar ice /[electronic resource] :by Shumon Koga, Miroslav Krstic. - Cham :Springer International Publishing :2020. - xiii, 352 p. :ill. (some col.), digital ;24 cm. - Systems & control: foundations & applications,2324-9749. - Systems & control: foundations & applications..

Preface -- Phase-Change Model - Stefan Problem -- Part I: Design and Analysis -- State Feedback Control Design -- State Estimation Design -- Extended Models and Design -- Two-Phase Stefan Problem -- Sampled-Data Design -- Open Problems -- Part II: Applications and Experiment -- Sea Ice -- Lithium-Ion Batteries -- Polymer 3D-Printing via Screw Extrusion -- Metal 3D-Printing via Selective Laser Sintering -- Experimental Study using PCM -- Open Problems.

This monograph introduces breakthrough control algorithms for partial differential equation models with moving boundaries, the study of which is known as the Stefan problem. The algorithms can be used to improve the performance of various processes with phase changes, such as additive manufacturing. Using the authors' innovative design solutions, readers will also be equipped to apply estimation algorithms for real-world phase change dynamics, from polar ice to lithium-ion batteries. A historical treatment of the Stefan problem opens the book, situating readers in the larger context of the area. Following this, the chapters are organized into two parts. The first presents the design method and analysis of the boundary control and estimation algorithms. Part two then explores a number of applications, such as 3D printing via screw extrusion and laser sintering, and also discusses the experimental verifications conducted. A number of open problems and provided as well, offering readers multiple paths to explore in future research. Materials Phase Change PDE Control & Estimation is ideal for researchers and graduate students working on control and dynamical systems, and particularly those studying partial differential equations and moving boundaries. It will also appeal to industrial engineers and graduate students in engineering who are interested in this area.

ISBN: 9783030584900

Standard No.: 10.1007/978-3-030-58490-0doiSubjects--Topical Terms:

518115
Differential equations, Partial.

LC Class. No.: QA377 / .K643 2020

Dewey Class. No.: 515.353

Materials phase change PDE control & estimation = from additive manufacturing to polar ice /
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245 1 0 $a Materials phase change PDE control & estimation $h [electronic resource] : $b from additive manufacturing to polar ice / $c by Shumon Koga, Miroslav Krstic.
260 $a Cham : $b Springer International Publishing : $b Imprint: Birkhauser, $c 2020.
300 $a xiii, 352 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Systems & control: foundations & applications, $x 2324-9749
505 0 $a Preface -- Phase-Change Model - Stefan Problem -- Part I: Design and Analysis -- State Feedback Control Design -- State Estimation Design -- Extended Models and Design -- Two-Phase Stefan Problem -- Sampled-Data Design -- Open Problems -- Part II: Applications and Experiment -- Sea Ice -- Lithium-Ion Batteries -- Polymer 3D-Printing via Screw Extrusion -- Metal 3D-Printing via Selective Laser Sintering -- Experimental Study using PCM -- Open Problems.
520 $a This monograph introduces breakthrough control algorithms for partial differential equation models with moving boundaries, the study of which is known as the Stefan problem. The algorithms can be used to improve the performance of various processes with phase changes, such as additive manufacturing. Using the authors' innovative design solutions, readers will also be equipped to apply estimation algorithms for real-world phase change dynamics, from polar ice to lithium-ion batteries. A historical treatment of the Stefan problem opens the book, situating readers in the larger context of the area. Following this, the chapters are organized into two parts. The first presents the design method and analysis of the boundary control and estimation algorithms. Part two then explores a number of applications, such as 3D printing via screw extrusion and laser sintering, and also discusses the experimental verifications conducted. A number of open problems and provided as well, offering readers multiple paths to explore in future research. Materials Phase Change PDE Control & Estimation is ideal for researchers and graduate students working on control and dynamical systems, and particularly those studying partial differential equations and moving boundaries. It will also appeal to industrial engineers and graduate students in engineering who are interested in this area.
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650 0 $a Materials science. $3 543314
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650 2 4 $a Characterization and Evaluation of Materials. $3 890988
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830 0 $a Systems & control: foundations & applications. $3 1620349
856 4 0 $u https://doi.org/10.1007/978-3-030-58490-0
950 $a Mathematics and Statistics (SpringerNature-11649)