Conflict Constrained Control for Switched Multiagent Systems With Nonaffine Nonlinear Faults and Uncertainties

Area of Science:

• Control Theory
• Nonlinear Systems
• Multiagent Systems

Background:

• Existing control methods struggle when reference signals violate system constraints.
• Dynamic constraint violations can render traditional backstepping control ineffective.
• Nonaffine nonlinear faults and switching behaviors complicate control design.

Purpose of the Study:

• To develop a robust conflict-constrained control method for switched multiagent systems.
• To address the challenge of reference signal conflicts with dynamic state constraints.
• To compensate for nonaffine nonlinear faults and switching effects.

Main Methods:

• A virtual circle approach constructs a safe reference signal to manage constraint conflicts.
• A common Lyapunov function and radial basis function neural network are employed for fault and switching compensation.
• A shift function is integrated into coordinate transformation to relax initial value constraints.

Main Results:

• The proposed method effectively handles dynamic constraint violations and reference signal conflicts.
• Switching behaviors and nonaffine nonlinear faults are successfully compensated.
• Simulation experiments validate the effectiveness and robustness of the developed control strategy.

Conclusions:

• The novel conflict-constrained control method enhances the safety and stability of switched multiagent systems.
• The approach provides a viable solution for systems with dynamic constraints and complex fault conditions.
• This work advances control strategies for nonlinear systems operating under challenging conditions.