Reset control for consensus of double-integrator multi-agent systems

In this paper, we address the consensus problem for double-integrator multi-agent systems integrated with a novel reset control protocol. It reveals the conditions under which consensus is achieved and the reset function is in action. The proposed reset control essentially provides a dynamically generated higher gain for better transient consensus performance, including faster convergence with less control effort. Compared with a static high gain controller, this dynamic high gain mechanism is more efficient and sophisticated especially in regularly resetting the additional gain to zero during the dynamic evolution. (c) 2021 Elsevier Ltd. All rights reserved.

Automated summary

This paper addresses the consensus problem for double-integrator multi-agent systems with a novel reset control protocol, revealing the conditions under which consensus is achieved and the role of the reset function. The proposed reset control provides a dynamically generated higher gain for better transient consensus performance.