Nonlinear control of dynamic networks:
"Preface The rapid development of computing, communications, and sensing technologies has been enabling new potential applications of advanced control of complex systems like smart power grids, biological processes, distributed computing networks, transportation systems, and robotic networks. S...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
2017
|
| Ausgabe: | pbk. ed. |
| Schriftenreihe: | Automation and control engineering series
|
| Schlagworte: | |
| Online-Zugang: | Cover image Inhaltsverzeichnis |
| Zusammenfassung: | "Preface The rapid development of computing, communications, and sensing technologies has been enabling new potential applications of advanced control of complex systems like smart power grids, biological processes, distributed computing networks, transportation systems, and robotic networks. Signi cant problems are to integrally deal with the fundamental system characteristics such as nonlinearity, dimensionality, uncertainty, and information constraints, and diverse kinds of networked behaviors, which may arise from quantization, data sampling, and impulsive events. Physical systems are inherently nonlinear and interconnected in nature. Signi cant progress has been made on nonlinear control systems in the past three decades. However, new system analysis and design tools that are capable of addressing more communication and networking issues are still highly desired to handle the emerging theoretical challenges underlying the new engineering problems. As an example, small quantization errors may cause the performance of a \well-designed" nonlinear control system to deteriorate. The need for new tools motivates this book, the purpose of which is to present a set of novel analysis and design tools to address the newly arising theoretical problems from the viewpoint of dynamic networks. The results are intended to help solve real-world nonlinear control problems, including quantized control and distributed control aspects".. |
| Beschreibung: | Includes bibliographical references (pages 305-320) and index |
| Beschreibung: | xxii, 323 Seiten 24 cm |
| ISBN: | 9781138076617 |
Internformat
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| 245 | 1 | 0 | |a Nonlinear control of dynamic networks |c Tengfei Liu, Polytechnic Institute of New York University, Department of Electrical & Computer Engineering, Zhong-Ping Jiang, Polytechnic Institute of New York University, Department of Electrical & Computer Engineering, David J. Hill, University of Hong Kong, Department of Electrical & Computer Engineering |
| 250 | |a pbk. ed. | ||
| 264 | 1 | |c 2017 | |
| 300 | |a xxii, 323 Seiten |c 24 cm | ||
| 490 | 0 | |a Automation and control engineering series | |
| 500 | |a Includes bibliographical references (pages 305-320) and index | ||
| 520 | |a "Preface The rapid development of computing, communications, and sensing technologies has been enabling new potential applications of advanced control of complex systems like smart power grids, biological processes, distributed computing networks, transportation systems, and robotic networks. Signi cant problems are to integrally deal with the fundamental system characteristics such as nonlinearity, dimensionality, uncertainty, and information constraints, and diverse kinds of networked behaviors, which may arise from quantization, data sampling, and impulsive events. Physical systems are inherently nonlinear and interconnected in nature. Signi cant progress has been made on nonlinear control systems in the past three decades. However, new system analysis and design tools that are capable of addressing more communication and networking issues are still highly desired to handle the emerging theoretical challenges underlying the new engineering problems. As an example, small quantization errors may cause the performance of a \well-designed" nonlinear control system to deteriorate. The need for new tools motivates this book, the purpose of which is to present a set of novel analysis and design tools to address the newly arising theoretical problems from the viewpoint of dynamic networks. The results are intended to help solve real-world nonlinear control problems, including quantized control and distributed control aspects".. | ||
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| 650 | 4 | |a TECHNOLOGY & ENGINEERING / Power Resources / Electrical / bisacsh | |
| 650 | 4 | |a System analysis | |
| 650 | 4 | |a Nonlinear control theory | |
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Datensatz im Suchindex
| _version_ | 1804178219836899328 |
|---|---|
| adam_text | Contents
Chapter 1 Introduction............................................1
1.1 Control Problems with Dynamic Networks............1
1.2 Lyapunov Stability................................4
1.3 Input-to-State Stability..........................8
1.4 Input-to-Output Stability........................15
1.5 Input-to-State Stabilization and an Overview of the
Book.............................................16
Chapter 2 Interconnected Nonlinear Systems.......................19
2.1 Trajectory-Based Small-Gain Theorem..............21
2.2 Lyapunov-Based Small-Gain Theorem................26
2.3 Small-Gain Control Design........................30
2.4 Notes............................................36
Chapter 3 Large-Scale Dynamic Networks...........................39
3.1 Continuous-Time Dynamic Networks............... 42
3.2 Discrete-Time Dynamic Networks...................54
3.3 Hybrid Dynamic Networks..........................63
3.4 Notes............................................75
Chapter 4 Control under Sensor Noise.............................79
4.1 Static State Measurement Feedback Control........80
4.2 Dynamic State Measurement Feedback Control.......93
4.3 Decentralized Output Measurement Feedback
Control.........................................101
4.4 Event-Triggered and Self-Triggered Control......116
4.5 Synchronization under Sensor Noise..............131
4.6 Application: Robust Adaptive Control............137
4.7 Notes...........................................139
Chapter 5 Quantized Nonlinear Control...........................143
5.1 Static Quantization: A Sector Bound Approach....144
5.2 Dynamic Quantization............................157
5.3 Quantized Output-Feedback Control...............180
5.4 Notes...........................................190
Chapter 6 Distributed Nonlinear Control........................193
6.1 A Cyclic-Small·Gain Result in Digraphs.........196
6.2 Distributed Output-Feedback Control............198
6.3 Formation Control of Nonholonomic Mobile Robots .207
6.4 Distributed Control with Flexible Topologies...224
6.5 Notes..........................................250
Chapter 7 Conclusions and Future Challenges....................255
Appendix A Related Notions in Graph Theory.......................261
Appendix B Systems with Discontinuous Dynamics.................263
B.l Basic Definitions..............................263
B.2 Extended Filippov Solution.....................264
B.3 Input-to-State Stability.......................265
B.4 Large-Scale Dynamic Networks of Discontinuous
Subsystems.....................................266
Appendix C Technical Lemmas Related to Comparison Functions......269
Appendix D Proofs of the Small-Gain Theorems 2.1, 3.2 and 3.6....273
D.l A Useful Technical Lemma.......................273
D.2 Proof of Theorem 2.1: The Asymptotic Gain
Approach.......................................273
D.3 Sketch of Proof of Theorem 3.2.............275
D. 4 Proof of Theorem 3.6...........................279
Appendix E Proofs of Technical Lemmas in Chapter 4...............285
E. l Proof of Lemma 4.2.............................285
E.2 Proof of Lemma 4.3.............................286
E.3 Proof of Lemma 4.5.............................287
E. 4 Proof of Lemma 4.6.............................289
Appendix F Proofs of Technical Lemmas in Chapter 5...............293
F. l Proof of Lemma 5.1.............................293
F.2 Proof of Lemma 5.3.............................295
F.3 Proof of Lemma 5.4.............................297
F.4 Proof of Lemma 5.5.............................298
F.5 Proof of Lemma 5.8.............................303
References........................................................305
Index
321
|
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| id | DE-604.BV044727176 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:00:30Z |
| institution | BVB |
| isbn | 9781138076617 |
| language | English |
| lccn | 014003734 |
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| owner_facet | DE-739 |
| physical | xxii, 323 Seiten 24 cm |
| publishDate | 2017 |
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| series2 | Automation and control engineering series |
| spelling | Liu, Tengfei Verfasser aut Nonlinear control of dynamic networks Tengfei Liu, Polytechnic Institute of New York University, Department of Electrical & Computer Engineering, Zhong-Ping Jiang, Polytechnic Institute of New York University, Department of Electrical & Computer Engineering, David J. Hill, University of Hong Kong, Department of Electrical & Computer Engineering pbk. ed. 2017 xxii, 323 Seiten 24 cm Automation and control engineering series Includes bibliographical references (pages 305-320) and index "Preface The rapid development of computing, communications, and sensing technologies has been enabling new potential applications of advanced control of complex systems like smart power grids, biological processes, distributed computing networks, transportation systems, and robotic networks. Signi cant problems are to integrally deal with the fundamental system characteristics such as nonlinearity, dimensionality, uncertainty, and information constraints, and diverse kinds of networked behaviors, which may arise from quantization, data sampling, and impulsive events. Physical systems are inherently nonlinear and interconnected in nature. Signi cant progress has been made on nonlinear control systems in the past three decades. However, new system analysis and design tools that are capable of addressing more communication and networking issues are still highly desired to handle the emerging theoretical challenges underlying the new engineering problems. As an example, small quantization errors may cause the performance of a \well-designed" nonlinear control system to deteriorate. The need for new tools motivates this book, the purpose of which is to present a set of novel analysis and design tools to address the newly arising theoretical problems from the viewpoint of dynamic networks. The results are intended to help solve real-world nonlinear control problems, including quantized control and distributed control aspects".. TECHNOLOGY & ENGINEERING / Electrical / bisacsh TECHNOLOGY & ENGINEERING / Electronics / Circuits / General / bisacsh TECHNOLOGY & ENGINEERING / Power Resources / Electrical / bisacsh System analysis Nonlinear control theory TECHNOLOGY & ENGINEERING / Electrical TECHNOLOGY & ENGINEERING / Electronics / Circuits / General TECHNOLOGY & ENGINEERING / Power Resources / Electrical Nichtlineares System (DE-588)4042110-7 gnd rswk-swf Kontrollsystem (DE-588)4126040-5 gnd rswk-swf Nichtlineares System (DE-588)4042110-7 s Kontrollsystem (DE-588)4126040-5 s DE-604 Jiang, Zhong-Ping Verfasser aut Hill, David J. 1949- Verfasser (DE-588)141854413 aut http://images.tandf.co.uk/common/jackets/websmall/978146658/9781466584594.jpg Cover image Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030123307&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Liu, Tengfei Jiang, Zhong-Ping Hill, David J. 1949- Nonlinear control of dynamic networks TECHNOLOGY & ENGINEERING / Electrical / bisacsh TECHNOLOGY & ENGINEERING / Electronics / Circuits / General / bisacsh TECHNOLOGY & ENGINEERING / Power Resources / Electrical / bisacsh System analysis Nonlinear control theory TECHNOLOGY & ENGINEERING / Electrical TECHNOLOGY & ENGINEERING / Electronics / Circuits / General TECHNOLOGY & ENGINEERING / Power Resources / Electrical Nichtlineares System (DE-588)4042110-7 gnd Kontrollsystem (DE-588)4126040-5 gnd |
| subject_GND | (DE-588)4042110-7 (DE-588)4126040-5 |
| title | Nonlinear control of dynamic networks |
| title_auth | Nonlinear control of dynamic networks |
| title_exact_search | Nonlinear control of dynamic networks |
| title_full | Nonlinear control of dynamic networks Tengfei Liu, Polytechnic Institute of New York University, Department of Electrical & Computer Engineering, Zhong-Ping Jiang, Polytechnic Institute of New York University, Department of Electrical & Computer Engineering, David J. Hill, University of Hong Kong, Department of Electrical & Computer Engineering |
| title_fullStr | Nonlinear control of dynamic networks Tengfei Liu, Polytechnic Institute of New York University, Department of Electrical & Computer Engineering, Zhong-Ping Jiang, Polytechnic Institute of New York University, Department of Electrical & Computer Engineering, David J. Hill, University of Hong Kong, Department of Electrical & Computer Engineering |
| title_full_unstemmed | Nonlinear control of dynamic networks Tengfei Liu, Polytechnic Institute of New York University, Department of Electrical & Computer Engineering, Zhong-Ping Jiang, Polytechnic Institute of New York University, Department of Electrical & Computer Engineering, David J. Hill, University of Hong Kong, Department of Electrical & Computer Engineering |
| title_short | Nonlinear control of dynamic networks |
| title_sort | nonlinear control of dynamic networks |
| topic | TECHNOLOGY & ENGINEERING / Electrical / bisacsh TECHNOLOGY & ENGINEERING / Electronics / Circuits / General / bisacsh TECHNOLOGY & ENGINEERING / Power Resources / Electrical / bisacsh System analysis Nonlinear control theory TECHNOLOGY & ENGINEERING / Electrical TECHNOLOGY & ENGINEERING / Electronics / Circuits / General TECHNOLOGY & ENGINEERING / Power Resources / Electrical Nichtlineares System (DE-588)4042110-7 gnd Kontrollsystem (DE-588)4126040-5 gnd |
| topic_facet | TECHNOLOGY & ENGINEERING / Electrical / bisacsh TECHNOLOGY & ENGINEERING / Electronics / Circuits / General / bisacsh TECHNOLOGY & ENGINEERING / Power Resources / Electrical / bisacsh System analysis Nonlinear control theory TECHNOLOGY & ENGINEERING / Electrical TECHNOLOGY & ENGINEERING / Electronics / Circuits / General TECHNOLOGY & ENGINEERING / Power Resources / Electrical Nichtlineares System Kontrollsystem |
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