Stochastic Consensus of a Class of Continuous-Time Multi-Agent Systems with a Leading Agent | Zendy

Qiuguo Zhu | Zendy; Jun Wu | Zendy; Rong Xiong | Zendy

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Stochastic Consensus of a Class of Continuous-Time Multi-Agent Systems with a Leading Agent

Author(s) -

Qiuguo Zhu,

Jun Wu,

Rong Xiong

Publication year - 2016

Publication title -

international journal of advanced robotic systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.394

H-Index - 46

eISSN - 1729-8814

pISSN - 1729-8806

DOI - 10.5772/62444

Subject(s) - computer science , multi agent system , class (philosophy) , consensus , nonlinear system , mathematical optimization , coupling (piping) , markov process , markov chain , stochastic process , homogeneous , topology (electrical circuits) , mathematics , artificial intelligence , machine learning , mechanical engineering , statistics , physics , quantum mechanics , combinatorics , engineering

A stochastic consensus problem is studied for a class of continuous-time multi-agent systems with a leading agent. The systems have a switching coupling topology driven by a homogeneous Markov process. The unknown coupling functions among agents are nonlinear or even discontinuous. Under some constraints on the unknown coupling functions, a sufficient condition is provided to guarantee stochastic consensus. The condition is in the form of a linear matrix inequality, which is computationally convenient

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