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Communication and Control for Networked Complex Systems 2015 ed. [Kõva köide]

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  • Formaat: Hardback, 168 pages, kõrgus x laius: 235x155 mm, kaal: 4026 g, 44 Illustrations, black and white; XIV, 168 p. 44 illus., 1 Hardback
  • Ilmumisaeg: 21-Apr-2015
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3662468123
  • ISBN-13: 9783662468128
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Communication and Control for Networked Complex Systems 2015 ed.Suurem pilt
  • Formaat: Hardback, 168 pages, kõrgus x laius: 235x155 mm, kaal: 4026 g, 44 Illustrations, black and white; XIV, 168 p. 44 illus., 1 Hardback
  • Ilmumisaeg: 21-Apr-2015
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3662468123
  • ISBN-13: 9783662468128
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783662468128.html
Märksõnad:
This book reports on the latest advances in the study of Networked Control Systems (NCSs). It highlights novel research concepts on NCSs; the analysis and synthesis of NCSs with special attention to their networked character; self- and event-triggered communication schemes for conserving limited network resources; and communication and control co-design for improving the efficiency of NCSs. The book will be of interest to university researchers, control and network engineers, and graduate students in the control engineering, communication and network sciences interested in learning the core principles, methods, algorithms and applications of NCSs.

Arvustused

This book presents recent developments in the stabilization of Networked Control Systems (NCSs) subject to communication constraints . The book is well structured and clearly written. the text is primarily recommended for readers experienced in NCS design and time-delay system analysis. (Przemysaw Ignaciuk, Mathematical Reviews, November, 2015)

This book is devoted to the study of Networked Control Systems (NCSs), systems i.e., which implement their control functionalities over communication networks. it is well addressed to control, communication and network engineers, as well as university students in the relevant scientific disciplines. (Christina Diakaki, zbMATH 1319.93002, 2015)

Part I Introduction and Preliminaries for NCSs
1 Introduction
3(16)
1.1 What Are Networked Control Systems?
3(2)
1.2 Control of NCSs
5(6)
1.2.1 Delay-Dependent Control in NCSs
5(1)
1.2.2 Stochastic Control in NCSs
6(1)
1.2.3 Switched Control in NCSs
7(1)
1.2.4 Predictive Control in NCSs
8(1)
1.2.5 Model-Based Control in NCSs
9(1)
1.2.6 Fuzzy Logic Control in NCSs
10(1)
1.3 Communication of NCSs
11(5)
1.3.1 Continuous Event-Triggered Communication Scheme
12(1)
1.3.2 Discrete Event-Triggered Communication Scheme
13(1)
1.3.3 Asynchronous Event-Triggered Communication Scheme
14(1)
1.3.4 Self-triggered Communication Scheme
15(1)
1.4 Contribution of the Book
16(2)
1.5 Book Outline
18(1)
2 Preliminaries: Modeling, Communication Scheme, and Lemmas for NCSs
19(14)
2.1 Delay Distribution-Dependent Modeling
19(4)
2.1.1 Nonuniform Distribution of IP-based Network Delays
19(3)
2.1.2 A Delay Distribution-Dependent Control Model for NCSs
22(1)
2.2 Event-Triggered Transmission Scheme
23(6)
2.2.1 A Discrete Event-Triggered Communication Scheme
24(2)
2.2.2 An Adaptive Event-Triggered Communication Scheme
26(1)
2.2.3 Delay Distribution-Dependent Model of NCSs
27(2)
2.3 Main Mathematical Lemmas
29(4)
Part II Communication-Delay-Distribution Dependent Method for NCSs
3 Delay Distribution-Dependent Control for Networked Linear Control Systems
33(8)
3.1 A Delay Distribution-Based Control Strategy for NCSs
33(1)
3.2 Stability and Stabilization Results
34(5)
3.3 An Example
39(1)
3.4 Conclusion
40(1)
4 Delay Distribution-Dependent Control for Networked Takagi--Sugeno Fuzzy Systems
41(18)
4.1 System and Problem Descriptions
41(5)
4.1.1 Networked T-S Control with Logic ZOH
42(2)
4.1.2 Networked PDC Fuzzy Control with Asynchronous Premise Constraints
44(1)
4.1.3 Delay Distribution-Dependent T-S Model
45(1)
4.2 Robust Stability Analysis and Controller Design
46(8)
4.2.1 Stability Analysis
46(6)
4.2.2 Robust Controller Design
52(2)
4.3 Numerical Examples
54(4)
4.4 Conclusion
58(1)
5 Decentralized Control for IP-based Large-Scale Systems
59(20)
5.1 System and Problem Descriptions
59(1)
5.1.1 Modeling of Large-Scale Systems
59(1)
5.1.2 Delay Distribution-Dependent Modeling
For an IP-based Large-Scale System
60(3)
5.2 Stability Analysis and Controller Synthesis
63(5)
5.3 Numerical Examples
68(7)
5.4 Conclusion
75(4)
Part III Necessary Communication Based Method for Control Design of NCSs
6 H∞ Filtering for NCSs with an Adaptive Event-Triggering Communication
79(18)
6.1 Communication and Model of Networked Filter
79(4)
6.1.1 An Adaptive Event-Triggered Communication Scheme
80(1)
6.1.2 Modeling of Networked Filtering-Error Systems
81(2)
6.2 H∞ Filtering Analysis and Design
83(7)
6.3 Illustrate Examples
90(4)
6.4 Conclusion
94(3)
7 Codesign of Event-Triggered Communication Scheme and H∞ Controller for NCSs
97(14)
7.1 Modeling of NCSs with an Event-Triggered Communication Scheme
98(1)
7.2 Hoc Stability Analysis and Controller Design
99(7)
7.2.1 H∞ Stability Analysis with Network-Induced Delay
99(3)
7.2.2 H∞ Stability Analysis with Network-Induced Delays and Packet Loss
102(3)
7.2.3 H∞ Controller Design
105(1)
7.3 Codesign Algorithm
106(1)
7.4 Numerical Examples
107(2)
7.5 Conclusion
109(2)
8 Self-triggered Sampling Scheme for NCSs
111(14)
8.1 System and Problem Description
111(2)
8.2 A Self-triggered Sampling Scheme
113(6)
8.2.1 An Upper Bound Estimation of an Error-Dependent Item
113(4)
8.2.2 Self-triggered Sampling Scheme
117(2)
8.3 Stability Analysis of Self-triggered Sampling Scheme
119(1)
8.4 An Example
120(3)
8.5 Conclusion
123(2)
9 A Mixed Sampling Scheme for Wireless Networked Control Systems
125(20)
9.1 System and Problem Description
125(2)
9.2 A Mixed Sampling Scheme
127(11)
9.2.1 A Self-triggered Estimator
128(5)
9.2.2 A Backstepping Periodic Event-Triggered Sampling Scheme
133(4)
9.2.3 A Mixed Self and Event-Triggered Sampling Scheme
137(1)
9.3 Stability Analysis of NCSs Under Mixed Self and Event-Triggered Sampling Scheme
138(1)
9.4 An Example
139(4)
9.5 Conclusion
143(2)
10 Event-Triggered Control for Networked Takagi-Sugeno Fuzzy Systems
145(16)
10.1 An Event-Triggered Communication Scheme
146(1)
10.2 T-S Fuzzy Systems with Asynchronous Premise Constraints
147(3)
10.3 Stability Analysis and Controller Design
150(5)
10.4 Numerical Examples
155(4)
10.5 Conclusion
159(2)
References 161(6)
Index 167