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240104 ||| eng |
| 020 |
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|a 9789819981700
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| 100 |
1 |
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|a Li, Zhongkui
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| 245 |
0 |
0 |
|a Distributed Event-triggered Control
|h Elektronische Ressource
|b Scalability and Robustness
|c by Zhongkui Li, Bin Cheng, Weihao Song, Shiqi Zhang
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| 250 |
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|a 1st ed. 2023
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| 260 |
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|a Singapore
|b Springer Nature Singapore
|c 2023, 2023
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| 300 |
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|a IX, 152 p. 1 illus
|b online resource
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| 505 |
0 |
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|a Chapter 1. Introduction -- Chapter 2. Mathematical Preliminaries -- Chapter 3. Fully Distributed Consensus Control with Event-Triggered Communication -- Chapter 4. Fully Distributed Event-Triggered Consensus with Discrete Communication and Control -- Chapter 5. Fully Distributed Event-Triggered Affine Formation Control -- Chapter 6. Distributed Robust Event-Triggered Control with Matching Uncertainties and Output Regulation -- Chapter 7. Distributed Robust Event-Triggered Control with Frequency-Domain Uncertainties
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| 653 |
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|a Control, Robotics, Automation
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| 653 |
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|a Control and Systems Theory
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| 653 |
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|a Control engineering
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| 653 |
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|a Robotics
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| 653 |
|
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|a Automation
|
| 700 |
1 |
|
|a Cheng, Bin
|e [author]
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| 700 |
1 |
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|a Song, Weihao
|e [author]
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| 700 |
1 |
|
|a Zhang, Shiqi
|e [author]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
|
| 028 |
5 |
0 |
|a 10.1007/978-981-99-8170-0
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-99-8170-0?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
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|a 629.8312
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| 082 |
0 |
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|a 003
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| 520 |
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|a This book focuses on distributed event-triggered control of multi-agent systems, in which the event-triggering mechanism is utilized to reduce the communication frequencies in order to compensate for constrained network bandwidths, an aspect that poses significant challenges for distributed control design. The book summarizes the authors’ original, systematic contributions on scalability and robustness, two core issues in distributed event-triggered control. Specifically, the book presents fully distributed adaptive event-triggered control laws; as they rely on neither continuous communications nor global information on the network, these laws are scalable with regard to network size and topology. Moreover, the book provides novel and robust event-triggered algorithms, which can accommodate various frequency-domain and matching uncertainties. The results presented here are applicable to UAV swarms, automobile systems, aerospace systems, vehicle platooning, and more, and will be of considerable interest to graduate students, researchers, and engineers working on network control systems.
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