Dual-Link Coded Event-Triggered Control for Nonlinear Multiagent Systems.

Area of Science:

• Control Systems Engineering
• Networked Systems
• Nonlinear Dynamics

Background:

• Multiagent systems require efficient communication and robust control, especially with nonlinear dynamics.
• Traditional control methods struggle with initial condition variations and communication burdens.
• Ensuring performance constraints in nonlinear systems under dynamic conditions is challenging.

Purpose of the Study:

• To develop a novel control strategy for achieving consensus in nonlinear multiagent systems.
• To reduce communication load and enhance information security in distributed control systems.
• To guarantee prescribed performance and accommodate arbitrary initial conditions.

Main Methods:

• Development of a dual-link coded event-triggered control (DL-CEC) scheme for information compression and security.
• Introduction of an adaptive prescribed performance (APP) scheme using auxiliary functions to dynamically adjust performance boundaries.
• Integration of DL-CEC with APP to ensure bounded consensus tracking.

Main Results:

• The proposed DL-CEC strategy effectively compresses information, reducing communication costs.
• The APP scheme successfully adapts to varying initial conditions, ensuring performance constraints.
• The integrated control strategy achieves bounded consensus tracking under arbitrary initial conditions.

Conclusions:

• The combined DL-CEC and APP method provides an effective solution for consensus control in nonlinear multiagent systems.
• The approach significantly reduces communication overhead while maintaining robust performance.
• Simulation results validate the feasibility and effectiveness of the proposed control strategy.