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Cooperative preview tracking problem of discrete-time linear multi-agent systems: A distributed output regulation
Yanrong Lu1, Fucheng Liao2, Huiyang Liu2
1School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China.
This study addresses cooperative preview tracking for multi-agent systems. A novel distributed control law ensures cooperative tracking consensus by formulating the problem as distributed output regulation.
Area of Science:
- Control Systems Engineering
- Robotics
- Networked Systems
Background:
- Cooperative control is crucial for multi-agent systems.
- Preview tracking enhances system performance with future information.
- Directed acyclic communication topologies present unique challenges.
Purpose of the Study:
- To solve the cooperative preview tracking problem for discrete-time linear multi-agent systems.
- To develop a distributed dynamic feedback control law.
- To establish conditions for achieving cooperative tracking consensus.
Main Methods:
- Augmented system formulation using preview-information-based auxiliary systems and distributed internal models.
- Framing the problem as a distributed output regulation (DOR) problem.
- Analyzing DOR solvability and augmented system stabilizability.
Main Results:
- Sufficient conditions for achieving cooperative tracking consensus are presented.
- A distributed dynamic feedback control law is proposed.
- The control law incorporates virtual regulated output integral and preview feedforward compensation.
Conclusions:
- The proposed control strategy effectively achieves cooperative tracking consensus.
- The method is applicable to discrete-time linear multi-agent systems with fixed directed acyclic communication topologies.
- This work advances the field of distributed cooperative control systems.
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