Mean Square Consensus for Uncertain Multiagent Systems with Noises and Delays | Zendy

Yuangong Sun | Zendy

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Mean Square Consensus for Uncertain Multiagent Systems with Noises and Delays

Author(s) -

Yuangong Sun

Publication year - 2012

Publication title -

abstract and applied analysis

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.228

H-Index - 56

eISSN - 1687-0409

pISSN - 1085-3375

DOI - 10.1155/2012/621060

Subject(s) - algebraic graph theory , mathematics , convergence (economics) , multi agent system , mean square , algebraic number , class (philosophy) , stochastic approximation , consensus , directed graph , graph theory , graph , mathematical optimization , computer science , discrete mathematics , combinatorics , artificial intelligence , mathematical analysis , key (lock) , economics , economic growth , computer security

This paper investigates the consensus problem in mean square for uncertain multiagent systems with stochastic measurement noises and symmetric or asymmetric time-varying delays. By combining the tools of stochastic analysis, algebraic graph theory, and matrix theory, we analyze the convergence of a class of distributed stochastic approximation type protocols with time-varying consensus gains. Numerical examples are also given to illustrate the theoretical results

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