Optimal consensus for uncertain high-order multi-agent systems by output feedback

The distributed optimal output consensus problem for high-order multi-agent systems has been studied recently. In this article, we further focus on the same problem for high-order multi-agent systems subject to parametric uncertainties and aim at distributed robust controllers by measurement output feedback. We first develop a dynamic compensator to estimate the expected optimal consensus point and convert the problem into several decentralized robust tracking problems. Then, by combining the integral control technique and dirty derivative observer technique, we constructively propose a distributed output feedback integral controller to solve this problem under a mild graph connectivity condition.

Automated summary

This article focuses on the distributed optimal output consensus problem for high-order multi-agent systems with parametric uncertainties, proposing a distributed output feedback integral controller to solve the problem effectively under mild graph connectivity conditions.