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210312 ||| eng |
| 020 |
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|a 9789813367180
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| 100 |
1 |
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|a Yue, Dong
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| 245 |
0 |
0 |
|a Distributed Cooperative Control and Communication for Multi-agent Systems
|h Elektronische Ressource
|c by Dong Yue, Huaipin Zhang, Shengxuan Weng
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| 250 |
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|a 1st ed. 2021
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| 260 |
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|a Singapore
|b Springer Nature Singapore
|c 2021, 2021
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| 300 |
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|a XI, 196 p. 60 illus., 50 illus. in color
|b online resource
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| 505 |
0 |
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|a Overview of multi-agent systems cooperation -- Distributed Adaptive Model-Based Event-Triggered Predictive Control for Consensus of MASs -- Event-Triggered Tracking Control For Heterogeneous MASs With Markov Communication Delays -- Time-varying Formation Tracking of Uncertain Non-affine Nonlinear MASs with Communication Delays -- Consensus of Nonlinear MASs with Relative State Saturations -- Distributed event-triggered cooperative attitude control of multiple groups of rigid bodies on manifold SO(3) -- Distributed robust finite-time attitude containment control for multiple rigid bodies with uncertainties -- Data-driven Distributed Optimal Consensus Control for Unknown MASs with Input-delay -- Data-driven optimal event-triggered consensus control for unknown nonlinear MASs with control constraints
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| 653 |
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|a Electric power production
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| 653 |
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|a Control and Systems Theory
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| 653 |
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|a Electric power distribution
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| 653 |
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|a Energy Grids and Networks
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| 653 |
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|a Control engineering
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| 653 |
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|a Electrical Power Engineering
|
| 700 |
1 |
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|a Zhang, Huaipin
|e [author]
|
| 700 |
1 |
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|a Weng, Shengxuan
|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 10.1007/978-981-33-6718-0
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-33-6718-0?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
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|a 321.319
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| 520 |
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|a This book investigates distributed cooperative control and communication of MASs including linear systems, nonlinear systems and multiple rigid body systems. The model-based and data-driven control method are employed to design the (optimal) cooperative control protocol. The approaches of this book consist of model-based and data-driven control such as predictive control, event-triggered control, optimal control, adaptive dynamic programming, etc. From this book, readers can learn about distributed cooperative control methods, data-driven control, finite-time stability analysis, cooperative attitude control of multiple rigid bodies. Some fundamental knowledge prepared to read this book is finite-time stability theory, event-triggered sampling mechanism, adaptive dynamic programming and optimal control.
|