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Consensus analysis via integral quadratic constraints

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Author

Summary, in English

This note proposes a unified approach to analyse linear time-invariant consensus problems via the use of integral quadratic constraints (IQCs) without recourse to loop transformations, which may cloud the inherent structural properties of the multi-agent networked systems. The main technical hindrance to using IQCs lies in the presence of the marginally stable integral action in consensus setups. It is shown that by working with conditions defined on modified signal spaces of interests and exploiting the graph structure underlying the connections between the dynamic systems, IQC methods can be applied directly to consensus analysis. A decentralised and scalable condition for consensus is proposed in this setting, which generalises some of the existing results in the literature.

Publishing year

2014

Language

English

Document type

Conference paper

Topic

  • Control Engineering

Conference name

The 21st International Symposium on Mathematical Theory of Networks and Systems

Conference date

2014-07-07

Conference place

Netherlands

Status

Published

Research group

  • LCCC