Consensus algorithms design for constrained heterogeneous multi-agent systems

This paper addresses the output consensus problem of heterogeneous multi-agent systems. Specifically, we propose consensus algorithms that account for input saturations using only the available output measurements. Our approach takes roots from a simple design procedure built around ideal first order consensus schemes (full state availability and no input saturations) and extends to the more challenging case including systems heterogeneity, input saturations and partial state availability. Numerical examples are provided to illustrate the effectiveness of the obtained theoretical results.