Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/4686
Title: Robust Consensus Control for Linear Descriptor Multi-agent Systems using Output Information
Authors: Pal, Arnab
Naskar, Asim Kumar
Keywords: Descriptor system
Multi-agent system
H∞ control
Consensus
Linear matrix-inequality (LMI)
Issue Date: Aug-2024
Citation: 28th International Conference on Methods and Models in Automation and Robotics (MMAR), Poland, 27-30 August 2024
Abstract: This work addresses the issues of robust consensus in descriptor multi-agent systems. The interaction topology among agents is considered as a directed graph and the proposed distributed consensus protocol is output feedback-based. The robust consensus control problem is reformulated through a unified framework model into a robust stability problem for a single agent. The controller gain parameters are obtained by solving a set of linear matrix equality constraints and strict linear matrix inequality constraints. These constraints are derived from the bounded real lemma. The effectiveness of the proposed methodology is illustrated through a numerical example.
Description: Copyright belongs to proceeding publisher
URI: http://hdl.handle.net/2080/4686
Appears in Collections:Conference Papers

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