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Prescribed performance adaptive event-triggered consensus control for multiagent systems with input saturation.

Xia Yue1, Jiarui Liu1, Kairui Chen1,2

  • 1School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, China.

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|February 6, 2023
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Summary
This summary is machine-generated.

This study introduces an adaptive event-triggered consensus control for multiagent systems facing input saturation and dead zones. The method ensures fast, stable convergence while respecting system constraints.

Keywords:
event-triggered strategyinput dead-zoneinput saturationmultiagent systemsprescribed performanceprescribed time

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Area of Science:

  • Control Engineering
  • Systems Science
  • Robotics

Background:

  • Practical multiagent systems (MAS) face challenges from input saturation and dead zones, impacting control performance and stability.
  • Input saturation limits signal magnitude, while dead zones hinder effective operation of small signals, creating unknown input limitations.
  • Rapid convergence in constrained MAS can lead to state variations violating constraints and causing security issues.

Purpose of the Study:

  • To develop a prescribed performance adaptive event-triggered consensus control method for MAS with input dead zone and saturation.
  • To guarantee system stability and fast convergence while ensuring state constraints are met.
  • To address the limitations imposed by input saturation and dead zones on system control.

Main Methods:

  • Development of a prescribed performance adaptive event-triggered consensus control strategy.
  • Utilization of a transform function and a barrier Lyapunov function to manage state constraints.
  • Design of an event-triggered mechanism to optimize control updates.

Main Results:

  • The proposed control method ensures prescribed performance and state constraint satisfaction for MAS.
  • Demonstrated effectiveness in handling systems with input dead zone and saturation.
  • Achieved fast convergence of multiagent systems under defined performance criteria.

Conclusions:

  • The developed adaptive event-triggered consensus control effectively manages input nonlinearities in MAS.
  • Prescribed performance and state constraints are simultaneously achieved, enhancing system reliability.
  • The control strategy offers a robust solution for practical engineering applications of multiagent systems.