Coordinated Control of Networked Multiagent Systems With Communication Constraints Using a Proportional Integral...

Area of Science:

• Control Systems Engineering
• Networked Systems
• Robotics

Background:

• Coordinated control of multiagent systems is crucial for complex tasks.
• Communication constraints pose significant challenges to achieving consensus and stability.
• Existing control schemes may not adequately address these limitations.

Purpose of the Study:

• To develop a control scheme for optimizing coordinated control in multiagent systems.
• To ensure simultaneous consensus and stability under communication constraints.
• To actively compensate for communication limitations in networked systems.

Main Methods:

• A novel networked proportional integral predictive control scheme is proposed.
• A cost function is defined to measure coordinated control performance.
• Analysis provides necessary and sufficient conditions for stability and consensus.

Main Results:

• The proposed scheme optimizes the defined cost function.
• Simultaneous consensus and stability are achieved in networked multiagent systems.
• Communication constraints are effectively compensated.

Conclusions:

• The networked proportional integral predictive control scheme successfully addresses coordinated control challenges.
• The method guarantees system stability and consensus.
• The effectiveness is validated through a practical example.