Gain-scheduled Leader-follower Tracking Control for Interconnected Parameter Varying Systems
Yi Cheng, V. Ugrinovskii

TL;DR
This paper develops a gain-scheduled control protocol for interconnected systems with varying parameters, ensuring leader-follower tracking with guaranteed performance bounds, demonstrated through simulation.
Contribution
It introduces a novel gain-scheduled consensus control method with a continuous protocol schedule for complex interconnected systems.
Findings
Guarantees a suboptimal bound on tracking performance.
Uses interpolation to achieve continuous protocol scheduling.
Validated effectiveness through simulation example.
Abstract
This paper considers the gain-scheduled leader-follower tracking control problem for a parameter varying complex interconnected system with directed communication topology and uncertain norm-bounded coupling between the agents. A gain-scheduled consensus-type control protocol is proposed and a sufficient condition is obtained which guarantees a suboptimal bound on the system tracking performance under this protocol. An interpolation technique is used to obtain a protocol schedule which is continuous in the scheduling parameter. 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 · Adaptive Control of Nonlinear Systems · Stability and Control of Uncertain Systems
