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Record Nr. |
UNINA9910743683503321 |
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Autore |
Xi Jianxiang |
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Titolo |
Admissible Consensus and Consensualization for Singular Multi-agent Systems / / by Jianxiang Xi, Le Wang, Xiaogang Yang, Jiuan Gao, Ruitao Lu |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (285 pages) |
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Collana |
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Engineering Applications of Computational Methods, , 2662-3374 ; ; 11 |
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Altri autori (Persone) |
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WangLe |
YangXiaogang |
GaoJiuan |
LuRuitao |
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Disciplina |
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Soggetti |
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Automatic control |
System theory |
Control theory |
Computer science |
Control and Systems Theory |
Systems Theory, Control |
Computer Science |
Complex Systems |
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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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Introduction -- Fundamental Theory -- Admissible Consensus and Consensualization on Interaction topology -- Admissible Consensus and Consensualization with Time Delays -- Admissible 2 L Consensus and Consensualization with External Disturbances -- Admissible Consensus and Consensualization with Protocol State Constraints -- Admissible Consensus and Consensualization with Energy constraints -- Admissible Formation Tracking with Energy constraints. |
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Sommario/riassunto |
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This book explores admissible consensus analysis and design problems concerning singular multi-agent systems, addressing various impact factors including time delays, external disturbances, switching |
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topologies, protocol states, topology structures, and performance constraint. It also discusses the state-space decomposition method, a key technique that can decompose the motions of singular multi-agent systems into two parts: the relative motion and the whole motion. The relative motion is independent of the whole motion. Further, it describes the admissible consensus analysis and determination of the design criteria for different impact factors using the Lyapunov method, the linear matrix inequality tool, and the generalized Riccati equation method. This book is a valuable reference resource for graduate students of control theory and engineering and researchers in the field of multi-agent systems. |
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