Guaranteed Performance Leader-follower Control for Multi-agent Systems with Linear IQC-Constrained Coupling
Yi Cheng, V. Ugrinovskii

TL;DR
This paper develops a leader-follower control strategy for multi-agent systems with linear IQC-constrained coupling, ensuring guaranteed tracking performance through a decentralized robust control approach.
Contribution
It introduces a novel control protocol and analysis method that guarantees leader tracking in multi-agent systems with IQC constraints, using a coordinate transformation and decentralized design.
Findings
Guarantees leader tracking with suboptimal performance bounds.
Provides sufficient conditions for system stability and performance.
Demonstrates effectiveness through simulation example.
Abstract
This paper considers the leader-follower control problem for a linear multi-agent system with undirected topology and linear coupling subject to integral quadratic constraints (IQCs). A consensus-type control protocol is proposed based on each agent's states relative its neighbors. In addition a selected set of agents uses for control their states relative the leader. Using a coordinate transformation, the consensus analysis of the multi-agent system is recast as a decentralized robust control problem for an auxiliary interconnected large scale system. Based on this interconnected large scale system, sufficient conditions are obtained which guarantee that the system tracks the leader. These conditions guarantee a suboptimal bound on the system tracking performance. The effectiveness of the proposed method is demonstrated using a simulation example.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDistributed Control Multi-Agent Systems · Neural Networks Stability and Synchronization · Stability and Control of Uncertain Systems
