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Record Nr. |
UNINA9910484524103321 |
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Autore |
Dong Yue <1620-1686, > |
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Titolo |
Distributed cooperative control and communication for multi-agent systems / / Dong Yue, Huaipin Zhang, Shenxuan Weng |
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Pubbl/distr/stampa |
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Gateway East, Singapore : , : Springer, , [2021] |
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©2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (XI, 196 p. 60 illus., 50 illus. in color.) |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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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Sommario/riassunto |
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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 |
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prepared to read this book is finite-time stability theory, event-triggered sampling mechanism, adaptive dynamic programming and optimal control. . |
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