Linear Systems Theory: A Structural Decomposition Approach
This text is the first comprehensive treatment of structural decompositions of various types of linear systems, including autonomous, unforced or unsensed, strictly proper, non-strictly proper, and descriptor or singular systems. Structural properties play an important role in the understanding of l...
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Hauptverfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Birkhäuser Boston
2004
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Schriftenreihe: | Control Engineering
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Schlagworte: | |
Online-Zugang: | FHI01 BTU01 Volltext |
Zusammenfassung: | This text is the first comprehensive treatment of structural decompositions of various types of linear systems, including autonomous, unforced or unsensed, strictly proper, non-strictly proper, and descriptor or singular systems. Structural properties play an important role in the understanding of linear systems and also provide insight to facilitate the solution of control problems related to stabilization, disturbance decoupling, robust and optimal control. Applications can be extended to industrial process control, aircraft and ship control, process automation control, and many other types of engineering systems. The authors employ a unique structural decomposition approach to break down an overall system into various subsystems, each with distinct features. The simplicity of these subsystems and their interconnections lead to deep insight about the design of feedback control systems for desired closed-loop performance, stability, and robustness. All results and case studies are presented in both continuous- and discrete-time settings. Exercises, as well as MATLAB-based computational and design algorithms utilizing the Linear Systems Toolkit, are included to reinforce and demonstrate the concepts treated throughout the book. Topics covered include: * Basic Concepts of Linear Systems Theory * Decomposition of Unforced and/or Unsensed Systems, Proper Systems and their Properties * Decomposition of Descriptor Systems and their Properties * Cascade and Inner-Outer Factorizations * Structural Assignment through Sensor/Actuator Selections * State Feedback Control with Time-Scale and Eigenstructure Assignment * Disturbance Decoupling with Static Output Feedback Linear Systems Theory may be used as a textbook for advanced undergraduate and graduate students in aeronautics and astronautics, applied mathematics, chemical, electrical and mechanical engineering. It may also serve as a valuable self-study reference for researchers and engineering practitioners in areas related to systems and control theory |
Beschreibung: | 1 Online-Ressource (XVI, 416 p) |
ISBN: | 9781461220466 |
DOI: | 10.1007/978-1-4612-2046-6 |
Internformat
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520 | |a All results and case studies are presented in both continuous- and discrete-time settings. Exercises, as well as MATLAB-based computational and design algorithms utilizing the Linear Systems Toolkit, are included to reinforce and demonstrate the concepts treated throughout the book. Topics covered include: * Basic Concepts of Linear Systems Theory * Decomposition of Unforced and/or Unsensed Systems, Proper Systems and their Properties * Decomposition of Descriptor Systems and their Properties * Cascade and Inner-Outer Factorizations * Structural Assignment through Sensor/Actuator Selections * State Feedback Control with Time-Scale and Eigenstructure Assignment * Disturbance Decoupling with Static Output Feedback Linear Systems Theory may be used as a textbook for advanced undergraduate and graduate students in aeronautics and astronautics, applied mathematics, chemical, electrical and mechanical engineering. | ||
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Datensatz im Suchindex
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any_adam_object | |
author | Chen, Ben M. Lin, Zongli Shamash, Yacov |
author_facet | Chen, Ben M. Lin, Zongli Shamash, Yacov |
author_role | aut aut aut |
author_sort | Chen, Ben M. |
author_variant | b m c bm bmc z l zl y s ys |
building | Verbundindex |
bvnumber | BV045148808 |
collection | ZDB-2-ENG |
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dewey-full | 519 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519 |
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dewey-sort | 3519 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
doi_str_mv | 10.1007/978-1-4612-2046-6 |
format | Electronic eBook |
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id | DE-604.BV045148808 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:10:02Z |
institution | BVB |
isbn | 9781461220466 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030538507 |
oclc_num | 1184278930 |
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owner | DE-573 DE-634 |
owner_facet | DE-573 DE-634 |
physical | 1 Online-Ressource (XVI, 416 p) |
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publishDate | 2004 |
publishDateSearch | 2004 |
publishDateSort | 2004 |
publisher | Birkhäuser Boston |
record_format | marc |
series2 | Control Engineering |
spelling | Chen, Ben M. Verfasser aut Linear Systems Theory A Structural Decomposition Approach by Ben M. Chen, Zongli Lin, Yacov Shamash Boston, MA Birkhäuser Boston 2004 1 Online-Ressource (XVI, 416 p) txt rdacontent c rdamedia cr rdacarrier Control Engineering This text is the first comprehensive treatment of structural decompositions of various types of linear systems, including autonomous, unforced or unsensed, strictly proper, non-strictly proper, and descriptor or singular systems. Structural properties play an important role in the understanding of linear systems and also provide insight to facilitate the solution of control problems related to stabilization, disturbance decoupling, robust and optimal control. Applications can be extended to industrial process control, aircraft and ship control, process automation control, and many other types of engineering systems. The authors employ a unique structural decomposition approach to break down an overall system into various subsystems, each with distinct features. The simplicity of these subsystems and their interconnections lead to deep insight about the design of feedback control systems for desired closed-loop performance, stability, and robustness. All results and case studies are presented in both continuous- and discrete-time settings. Exercises, as well as MATLAB-based computational and design algorithms utilizing the Linear Systems Toolkit, are included to reinforce and demonstrate the concepts treated throughout the book. Topics covered include: * Basic Concepts of Linear Systems Theory * Decomposition of Unforced and/or Unsensed Systems, Proper Systems and their Properties * Decomposition of Descriptor Systems and their Properties * Cascade and Inner-Outer Factorizations * Structural Assignment through Sensor/Actuator Selections * State Feedback Control with Time-Scale and Eigenstructure Assignment * Disturbance Decoupling with Static Output Feedback Linear Systems Theory may be used as a textbook for advanced undergraduate and graduate students in aeronautics and astronautics, applied mathematics, chemical, electrical and mechanical engineering. It may also serve as a valuable self-study reference for researchers and engineering practitioners in areas related to systems and control theory Mathematics Systems Theory, Control Control, Robotics, Mechatronics Appl.Mathematics/Computational Methods of Engineering Engineering Design Automotive Engineering Applications of Mathematics Applied mathematics Engineering mathematics System theory Engineering design Automotive engineering Control engineering Robotics Mechatronics Dekomposition (DE-588)4149030-7 gnd rswk-swf Lineares System (DE-588)4125617-7 gnd rswk-swf Lineares System (DE-588)4125617-7 s Dekomposition (DE-588)4149030-7 s 1\p DE-604 Lin, Zongli aut Shamash, Yacov aut Erscheint auch als Druck-Ausgabe 9781461273943 https://doi.org/10.1007/978-1-4612-2046-6 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Chen, Ben M. Lin, Zongli Shamash, Yacov Linear Systems Theory A Structural Decomposition Approach Mathematics Systems Theory, Control Control, Robotics, Mechatronics Appl.Mathematics/Computational Methods of Engineering Engineering Design Automotive Engineering Applications of Mathematics Applied mathematics Engineering mathematics System theory Engineering design Automotive engineering Control engineering Robotics Mechatronics Dekomposition (DE-588)4149030-7 gnd Lineares System (DE-588)4125617-7 gnd |
subject_GND | (DE-588)4149030-7 (DE-588)4125617-7 |
title | Linear Systems Theory A Structural Decomposition Approach |
title_auth | Linear Systems Theory A Structural Decomposition Approach |
title_exact_search | Linear Systems Theory A Structural Decomposition Approach |
title_full | Linear Systems Theory A Structural Decomposition Approach by Ben M. Chen, Zongli Lin, Yacov Shamash |
title_fullStr | Linear Systems Theory A Structural Decomposition Approach by Ben M. Chen, Zongli Lin, Yacov Shamash |
title_full_unstemmed | Linear Systems Theory A Structural Decomposition Approach by Ben M. Chen, Zongli Lin, Yacov Shamash |
title_short | Linear Systems Theory |
title_sort | linear systems theory a structural decomposition approach |
title_sub | A Structural Decomposition Approach |
topic | Mathematics Systems Theory, Control Control, Robotics, Mechatronics Appl.Mathematics/Computational Methods of Engineering Engineering Design Automotive Engineering Applications of Mathematics Applied mathematics Engineering mathematics System theory Engineering design Automotive engineering Control engineering Robotics Mechatronics Dekomposition (DE-588)4149030-7 gnd Lineares System (DE-588)4125617-7 gnd |
topic_facet | Mathematics Systems Theory, Control Control, Robotics, Mechatronics Appl.Mathematics/Computational Methods of Engineering Engineering Design Automotive Engineering Applications of Mathematics Applied mathematics Engineering mathematics System theory Engineering design Automotive engineering Control engineering Robotics Mechatronics Dekomposition Lineares System |
url | https://doi.org/10.1007/978-1-4612-2046-6 |
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