Event-Triggered Bipartite Consensus of Single-Integrator Multi-Agent Systems with Measurement Noise
| Autor: | Wei-Guo Sun, Yun-Bo Zhao, Cui-Qin Ma |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
State-transition matrix
0209 industrial biotechnology Spanning tree Article Subject Computer science Multi-agent system Digraph 02 engineering and technology Topology lcsh:QA75.5-76.95 Computer Science Applications Algebraic graph theory Noise 020901 industrial engineering & automation lcsh:TA1-2040 Modeling and Simulation Integrator 0202 electrical engineering electronic engineering information engineering Bipartite graph 020201 artificial intelligence & image processing lcsh:Electronic computers. Computer science Electrical and Electronic Engineering lcsh:Engineering (General). Civil engineering (General) |
| Zdroj: | Journal of Control Science and Engineering, Vol 2018 (2018) |
| ISSN: | 1687-5257 1687-5249 |
| DOI: | 10.1155/2018/7186737 |
| Popis: | Event-triggered bipartite consensus of single-integrator multi-agent systems is investigated in the presence of measurement noise. A time-varying gain function is proposed in the event-triggered bipartite consensus protocol to reduce the negative effects of the noise corrupted information processed by the agents. Using the state transition matrix, Ito^ formula, and the algebraic graph theory, necessary and sufficient conditions are given for the proposed protocol to yield mean square bipartite consensus. We find that the weakest communication requirement to ensure the mean square bipartite consensus under event-triggered protocol is that the signed digraph is structurally balanced and contains a spanning tree. Numerical examples validated the theoretical findings where the system shows no Zeno behavior. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text