UID:
almafu_9959328070102883
Format:
1 online resource (xiv, 435 pages) :
,
illustrations
ISBN:
9780470724200
,
047072420X
,
9780470724194
,
0470724196
,
1281319112
,
9781281319111
Content:
The paradigm of 'multi-agent' cooperative control is the challenge frontier for new control system application domains, and as a research area it has experienced a considerable increase in activity in recent years. This volume, the result of a UCLA collaborative project with Caltech, Cornell and MIT, presents cutting edge results in terms of the 'dimensions' of cooperative control from leading researchers worldwide. This dimensional decomposition allows the reader to assess the multi-faceted landscape of cooperative control. "Cooperative Control of Distributed Multi-Agent Systems" is organized into four main themes, or dimensions, of cooperative control: distributed control and computation; adversarial interactions; uncertain evolution; and, complexity management. The military application of autonomous vehicles systems or multiple unmanned vehicles is primarily targeted; however much of the material is relevant to a broader range of multi-agent systems including cooperative robotics, distributed computing, sensor networks and data network congestion control. "Cooperative Control of Distributed Multi-Agent Systems" offers the reader an organized presentation of a variety of recent research advances, supporting software and experimental data on the resolution of the cooperative control problem. It will appeal to senior academics, researchers and graduate students as well as engineers working in the areas of cooperative systems, control and optimization.
Note:
Cover -- TOC36;Contents -- List of Contributors -- Preface -- Part I46; Introduction -- CH36;146; Dimensions of cooperative control -- 146;1 Why cooperative control63; -- 146;2 Dimensions of cooperative control -- 146;3 Future directions -- Acknowledgements -- References -- Part II46; Distributed Control and Computation -- CH36;246; Design of behavior of swarms58; From flocking to data fusion using microfilter networks -- 246;1 Introduction -- 246;2 Consensus problems -- 246;3 Flocking behavior for distributed coverage -- 246;4 Microfilter networks for cooperative data fusion -- Acknowledgements -- References -- CH36;346; Connectivity and convergence of formations -- 346;1 Introduction -- 346;2 Problem formulation -- 346;3 Algebraic graph theory -- 346;4 Stability of vehicle formations in the case of time45;invariant communication -- 346;5 Stability of vehicle formations in the case of time45;variant communication -- 346;6 Stabilizing feedback for the time45;variant communication case -- 346;7 Graph connectivity and stability of vehicle formations -- 346;8 Conclusion -- Acknowledgements -- References -- CH36;446; Distributed receding horizon control58; stability via move suppression -- 446;1 Introduction -- 446;2 System description and objective -- 446;3 Distributed receding horizon control -- 446;4 Feasibility and stability analysis -- 446;5 Conclusion -- Acknowledgement -- References -- CH36;546; Distributed predictive control58; synthesis44; stability and feasibility -- 546;1 Introduction -- 546;2 Problem formulation -- 546;3 Distributed MPC scheme -- 546;4 DMPC stability analysis -- 546;5 Distributed design for identical unconstrained LTI subsystems -- 546;6 Ensuring feasibility -- 546;7 Conclusion -- References -- CH36;646; Task assignment for mobile agents -- 646;1 Introduction -- 646;2 Background -- 646;3 Problem statement -- 646;4 Assignment algorithm and results -- 646;5 Simulations -- 646;6 Conclusions -- Acknowledgements -- References -- CH36;746; On the value of information in dynamic multiple45;vehicle routing problems -- 746;1 Introduction -- 746;2 Problem formulation -- 746;3 Control policy description -- 746;4 Performance analysis in light load -- 746;5 A performance analysis for sTP44; mTP47;FG and mTP policies -- 746;6 Some numerical results -- 746;7 Conclusions -- References -- CH36;846; Optimal agent cooperation with local information -- 846;1 Introduction -- 846;2 Notation and problem formulation -- 846;3 Mathematical problem formulation -- 846;4 Algorithm overview and LP decomposition -- 846;5 Fixed point computation -- 846;6 Discussion and examples -- 846;7 Conclusion -- Acknowledgements -- References -- CH36;946; Multiagent cooperation through egocentric modeling -- 946;1 Introduction -- 946;2 Centralized and decentralized optimization -- 946;3 Evolutionary cooperation -- 946;4 Analysis of convergence -- 946;5 Conclusion -- Acknowledgements -- References -- Part III46; Adversarial Interactions -- CH36;1046; Multi45;vehicle cooperative control using mixed integer linear programming -- 1046;1 Introduction -- 1046;2 Vehicle dynamics.
Additional Edition:
Print version: Cooperative control of distributed multi-agent systems. Chichester, England : John Wiley & Sons, 2008 ISBN 9780470060315
Additional Edition:
ISBN 047006031X
Language:
English
Keywords:
Electronic books.
;
Electronic books.
;
Electronic books.
DOI:
10.1002/9780470724200
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470724200
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470724200
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470724200
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