Loading [MathJax]/extensions/MathMenu.js
Cooperative optimal output regulation of multi-agent systems using adaptive dynamic programming | IEEE Conference Publication | IEEE Xplore

Cooperative optimal output regulation of multi-agent systems using adaptive dynamic programming


Abstract:

This paper proposes a novel solution to the adaptive optimal output regulation problem of continuous-time linear multi-agent systems. A key strategy is to resort to reinf...Show More

Abstract:

This paper proposes a novel solution to the adaptive optimal output regulation problem of continuous-time linear multi-agent systems. A key strategy is to resort to reinforcement learning and approximate/adaptive dynamic programming. A data-driven, non-model-based algorithm is given to design a distributed adaptive suboptimal output regulator in the presence of unknown system dynamics. The effectiveness of the proposed computational control algorithm is demonstrated via cooperative adaptive cruise control of connected and autonomous vehicles.
Date of Conference: 24-26 May 2017
Date Added to IEEE Xplore: 03 July 2017
ISBN Information:
Electronic ISSN: 2378-5861
Conference Location: Seattle, WA, USA

References

References is not available for this document.