Consensus analysis for multi-agent systems via periodic event-triggered algorithms with quantized information
Autor: | Ping Hu, Hong-Xiao Zhang, Li Ding, Zhi-Wei Liu |
---|---|
Rok vydání: | 2017 |
Předmět: |
Lyapunov function
0209 industrial biotechnology Ideal (set theory) Computer Networks and Communications Applied Mathematics Multi-agent system Topology (electrical circuits) 02 engineering and technology symbols.namesake 020901 industrial engineering & automation Control and Systems Engineering Signal Processing 0202 electrical engineering electronic engineering information engineering symbols 020201 artificial intelligence & image processing Enhanced Data Rates for GSM Evolution State (computer science) Laplacian matrix Protocol (object-oriented programming) Algorithm Mathematics |
Zdroj: | Journal of the Franklin Institute. 354:6364-6380 |
ISSN: | 0016-0032 |
DOI: | 10.1016/j.jfranklin.2017.08.003 |
Popis: | In this article, a novel distributed event-triggered control protocol for the consensus of second-order multi-agent systems with undirected topology is studied. Based on the proposed control protocol, the event-triggered condition is evaluated only at every sampling instant. The control input for each agent will be updated with local information if and only if its condition is violated. Both ideal and quantized relative state measurements are considered under this framework. Some sufficient conditions for achieving consensus are derived using spectral properties of edge Laplacian matrix and the discrete-time Lyapunov function method. Finally, numerical examples are given to demonstrate the effectiveness of our theoretical results. |
Databáze: | OpenAIRE |
Externí odkaz: |