Consensus of data-sampled multi-agent systems with Markovian switching topologies.
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| Title: | Consensus of data-sampled multi-agent systems with Markovian switching topologies. |
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| Authors: | Zhao, Huanyu, Xu, Shengyuan, Yuan, Deming |
| Source: | Asian Journal of Control; Sep2012, Vol. 14 Issue 5, p1366-1373, 8p |
| Subject Terms: | MULTIAGENT systems, PROCESS control systems, AUTOMATIC control systems, MEAN square algorithms, MARKOVIAN jump linear systems, SYSTEMS theory, CONTROL theory (Engineering), SIMULATION methods & models |
| Abstract: | This paper studies the consensus problem of data-sampled multi-agent systems with Markovian switching topologies. Two different consensus algorithms are considered. By a system transformation, the mean-square consensus problem of multi-agent systems is converted into the mean-square stability problem of Markov jump systems. Necessary and sufficient conditions of mean-square consensus are obtained. The cone complementary linearization algorithm is used to get the allowable control gain. Simulation examples are given to show the effectiveness of the results. Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society [ABSTRACT FROM AUTHOR] |
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| Database: | Complementary Index |
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