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[ACC 2023] "H2 suboptimal containment control of multi-agent systems" by Yuan Gao, Junjie Jiao, Sandra Hirche

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H2 suboptimal containment control of multi-agent systems in 2023 American Control Conference

This responsory includes the following files:

  1. The paper "H2 suboptimal containment control of multi-agent systems"
  2. Matlab Code for Simulation
  3. Simulation Video

Abstract:

This paper deals with the distributed H2 suboptimal containment control problem by static state feedback for linear multi-agent systems. Given multiple autonomous leaders, a number of followers, and an H2 cost functional, we aim to design a distributed protocol that achieves containment control while the associated H2 cost is smaller than an a priori given upper bound. To that end, we first show that the H2 suboptimal containment control problem can be equivalently recast into the H2 suboptimal control problem of a set of independent systems. Based on this, a design method is provided to compute such a distributed protocol. The computation of the feedback gain involves a single Riccati inequality whose dimension is equal to the dimension of the states of the agents. The performance of the proposed protocol is illustrated by a simulation example.

Simulation Video

Containment.mp4

Poster in ACC 2023, May 31 - June 2, 2023 | San Diego, CA, USA

2023_ACC_Polster1024_1

Reference

@inproceedings{gao2023h, title={H 2 suboptimal containment control of multi-agent systems}, author={Gao, Yuan and Jiao, Junjie and Hirche, Sandra}, booktitle={2023 American Control Conference (ACC)}, pages={1359--1364}, year={2023}, organization={IEEE} }

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[ACC 2023] "H2 suboptimal containment control of multi-agent systems" by Yuan Gao, Junjie Jiao, Sandra Hirche

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