Cooperative Tracking Control of Multiagent Systems: A Heterogeneous Coupling Network and Intermittent Communication...

Area of Science:

• Control Systems Engineering
• Networked Systems
• Robotics

Background:

• Multiagent systems face challenges with dynamic interaction topologies and communication constraints.
• Cooperative tracking control is crucial for coordinated tasks in various applications.

Purpose of the Study:

• To develop a robust framework for cooperative tracking control in multiagent systems.
• To address challenges posed by dynamic interaction topologies and bounded intermittent communication.

Main Methods:

• A heterogeneous coupling network framework with adjustable weighting parameters was proposed.
• An intermittent cooperative tracking control protocol was designed, integrating agent dynamics and information exchange.
• Lyapunov stability theory was used to prove control effectiveness.

Main Results:

• A bounded consensus condition for cooperative tracking control was established.
• The proposed intermittent control protocol ensures cooperative tracking under dynamic topologies and communication limitations.
• The framework was extended to information consensus protocols with intermittent constraints.

Conclusions:

• The developed framework effectively achieves cooperative tracking control for multiagent systems.
• The findings are validated through two illustrative examples.
• The research contributes to advancing control strategies for complex networked systems.