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Distributed Cooperative Control and Communication for Multi-agent Systems

About Distributed Cooperative Control and Communication for Multi-agent Systems

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 prepared to read this book is finite-time stability theory, event-triggered sampling mechanism, adaptive dynamic programming and optimal control.

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  • Language:
  • English
  • ISBN:
  • 9789813367173
  • Binding:
  • Hardback
  • Pages:
  • 196
  • Published:
  • February 15, 2021
  • Edition:
  • 12021
  • Dimensions:
  • 155x235x0 mm.
  • Weight:
  • 483 g.
Delivery: 2-3 weeks
Expected delivery: December 12, 2024

Description of Distributed Cooperative Control and Communication for Multi-agent Systems

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 prepared to read this book is finite-time stability theory, event-triggered sampling mechanism, adaptive dynamic programming and optimal control.

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