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200330s2020 enk ob 001 0 eng d |
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|a YDX
|b eng
|e pn
|c YDX
|d OPELS
|d EBLCP
|d UKAHL
|d OCLCF
|d OCLCQ
|d OCLCO
|d COM
|d OCLCQ
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|a 9780128204450
|q (electronic bk.)
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|a 0128204451
|q (electronic bk.)
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|z 9780128201183
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|z 0128201185
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|a (OCoLC)1147257394
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|a QA76.76.I58
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|a 006.3/0285436
|2 23
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|a Cooperative control of multi-agent systems :
|b an optimal and robust perspective /
|c edited bu Quan Min Zhu.
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|a London :
|b Academic Press,
|c 2020.
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|a 1 online resource
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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1 |
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|a Emerging methodologies and applications in modelling, identification and control
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|a Includes bibliographical references and index.
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|a Front Cover -- Cooperative Control of Multi-Agent Systems -- Copyright -- Contents -- About the authors -- Preface -- Acknowledgments -- Part I About cooperative control -- 1 Introduction -- 1.1 Background -- 1.1.1 Motivations -- 1.1.2 Control architectures and strategies -- 1.1.3 Related applications -- 1.2 Overview of related works -- 1.2.1 Consensus control -- 1.2.1.1 Basic concept -- 1.2.1.2 Optimal cooperative control -- 1.2.1.3 Robust cooperative control -- 1.2.2 Formation control -- 1.2.3 Other related research -- 1.2.4 Future research topics -- 1.3 Objectives of this book
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|a 1.4 Book outline -- 2 Preliminaries -- 2.1 Matrix theory -- 2.2 Stability theory -- 2.3 Basic algebraic graph theory -- 2.3.1 Basic de nitions -- 2.3.2 Graph matrices -- 2.3.3 Properties -- 2.4 Useful lemmas on inequalities -- Part II Optimal cooperative control -- 3 Optimal consensus control of multiple integrator systems -- 3.1 Problem formulation -- 3.2 Optimal consensus control with obstacle avoidance for single-integrator case -- 3.2.1 Optimal consensus algorithm: single-integrator case -- 3.2.2 Numerical examples -- 3.2.2.1 Consensus without obstacles on the trajectories of agents
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|a 3.2.2.2 Consensus with multiple obstacles on the trajectories of agents -- 3.3 Optimal consensus control with obstacle avoidance for double-integrator case -- 3.3.1 Optimal consensus algorithm: double-integrator case -- 3.3.2 Numerical examples -- 3.3.2.1 Consensus without obstacles on the trajectories of the agents -- 3.3.2.2 Consensus with multiple obstacles on the trajectories of the agents -- 3.4 Conclusion remarks -- 4 Optimal cooperative tracking and ocking of multi-agent systems -- 4.1 Optimal rendezvous and cooperative tracking control with obstacle avoidance -- 4.1.1 Problem formulation
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|a 4.1.2 Optimal rendezvous algorithm with obstacle avoidance -- 4.1.3 Numerical examples -- A. Rendezvous without obstacles on the trajectories of agents -- B. Rendezvous with two obstacles on the trajectory of agents -- 4.1.4 Extension to cooperative tracking problem with obstacle avoidance -- 4.1.4.1 Cooperative tracking algorithm with obstacle avoidance -- 4.1.4.2 Numerical examples -- A. Cooperative tracking of a reference with constant velocity -- B. Cooperative tracking of a dynamic reference trajectory -- 4.2 Optimal ocking control design with obstacle avoidance -- 4.2.1 Problem formulation
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|a 4.2.2 Optimal ocking control algorithm design -- 4.2.3 Numerical examples -- A. Flocking with velocity alignment and navigation -- B. Flocking with velocity alignment, navigation, and cohesion -- C. Flocking with velocity alignment, navigation, cohesion, and obstacle/ collision avoidance -- 4.3 Conclusion remarks -- 5 Optimal formation control of multiple UAVs -- 5.1 Problem formulation -- 5.2 Integrated optimal control approach to formation control problem -- 5.3 Numerical examples -- 5.3.1 Formation control without obstacles on the trajectories of UAVs
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650 |
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|a Multiagent systems.
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650 |
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6 |
|a Syst�emes multiagents (Intelligence artificielle)
|0 (CaQQLa)000268008
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650 |
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7 |
|a Multiagent systems.
|2 fast
|0 (OCoLC)fst01749717
|
700 |
1 |
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|a Zhu, Quan Min.
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776 |
0 |
8 |
|i Ebook version :
|z 9780128204450
|
776 |
0 |
8 |
|i Print version:
|t Cooperative control of multi-agent systems.
|d London : Academic Press, 2020
|z 0128201185
|z 9780128201183
|w (OCoLC)1126216753
|
830 |
|
0 |
|a Emerging methodologies and applications in modelling, identification and control.
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856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780128201183
|z Texto completo
|