Distributed Robust Control of Linear Multi-Agent Systems with Parameter Uncertainties
Zhongkui Li, Zhisheng Duan, Lihua Xie, Xiangdong Liu

TL;DR
This paper develops distributed robust control strategies for uncertain linear multi-agent systems with undirected communication, providing new algorithms and conditions for both continuous- and discrete-time cases to ensure quadratic stability and disturbance rejection.
Contribution
It introduces a two-step, conservative-free algorithm for continuous-time systems and LMI-based conditions for discrete-time systems, advancing robust control design for heterogeneous multi-agent systems.
Findings
Distributed controllers achieve quadratic stability under uncertainties.
The algorithms decouple feedback gain design from communication topology.
Conditions for controller existence are derived via linear matrix inequalities.
Abstract
This paper considers the distributed robust control problems of uncertain linear multi-agent systems with undirected communication topologies. It is assumed that the agents have identical nominal dynamics while subject to different norm-bounded parameter uncertainties, leading to weakly heterogeneous multi-agent systems. Distributed controllers are designed for both continuous- and discrete-time multi-agent systems, based on the relative states of neighboring agents and a subset of absolute states of the agents. It is shown for both the continuous- and discrete-time cases that the distributed robust control problems under such controllers in the sense of quadratic stability are equivalent to the control problems of a set of decoupled linear systems having the same dimensions as a single agent. A two-step algorithm is presented to construct the distributed controller for the…
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Stability and Control of Uncertain Systems · Neural Networks Stability and Synchronization
