arXiv · 1605.03648
Robust Consensus of Linear Multi-Agent Systems under Input Constraints or Uncertainties
Abstract
This paper proposes a new approach to analyze and synthesize robust consensus control laws for general linear leaderless multi-agent systems (MASs) subjected to input constraints or uncertainties. First, the MAS under input constraints or uncertainties is reformulated as a network of Lur'e systems. Next, two scenarios of communication topology are considered, namely undirected and directed cyclic structures. In each case, a sufficient condition for consensus and the design of consensus controller gain are derived from solutions of a distributed LMI convex problem. Finally, a numerical example is introduced to illustrate the effectiveness of the proposed theoretical approach.
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Dinh Hoa Nguyen, Tatsuo Narikiyo, Michihiro Kawanishi. 2016-05-12. Robust Consensus of Linear Multi-Agent Systems under Input Constraints or Uncertainties. https://arxiv.org/abs/1605.03648
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