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Books > Computing & IT > Applications of computing > Artificial intelligence
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Synchronization of Multi-Agent Systems in the Presence of Disturbances and Delays (Paperback, 1st ed. 2022)
Loot Price: R4,086
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Synchronization of Multi-Agent Systems in the Presence of Disturbances and Delays (Paperback, 1st ed. 2022)
Series: Systems & Control: Foundations & Applications
Expected to ship within 18 - 22 working days
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This monograph explores the synchronization of large-scale,
multi-agent dynamical systems in the presence of disturbances,
delays, and time-varying networks. Drawing upon their extensive
work in this area, the authors provide a thorough treatment of
agents with higher-order dynamics, different classes of models for
agents, and the underlying networks representing the agents'
actions. The high technical level of their presentation and their
rigorous mathematical approach make this a timely and valuable
resource that will fill a gap in the existing literature. Divided
into two sections, the first part of the book focuses on state
synchronization of homogeneous multi-agent systems. The authors
consider state synchronization by determining control strategies
for both continuous- and discrete-time systems that achieve state
synchronization under both full- and partial-state coupling. The
chapters that follow examine multi-agent systems with both linear
and nonlinear time-varying agents, input-delays for continuous- and
discrete-time systems, and communication delays for continuous-time
systems. The second part of the book is dedicated to regulated
output synchronization of heterogeneous multi-agent systems with
linear and nonlinear agents. Both sections of the book include
performance considerations in H2- and H-infinity norms in the
presence of external disturbances. Research on synchronization of
multi-agent systems has been growing in popularity and is highly
interdisciplinary, with applications to automobile systems,
aerospace systems, multiple-satellite GPS and high-resolution
satellite imagery, aircraft formations, highway traffic platooning,
industrial process control with multiple processes, and more.
Synchronization of Multi-Agent Systems in the Presence of
Disturbances and Delays will therefore be of interest to
upper-level graduate students, researchers, and engineers in
industry working on interconnected dynamical systems.
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