H∞ Consensus Control for Heterogeneous Multi-Agent via Output under Markov Switching Topologies
School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China
Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing 210044, China
Author to whom correspondence should be addressed.
Received: 9 October 2018 / Revised: 17 December 2018 / Accepted: 17 December 2018 / Published: 19 December 2018
The paper investigates
consensus problem of heterogeneous multi-agent systems including agents with first- and second-order integrators in the presence of disturbance and communication time delays under Markov switching topologies. Based on current messages, outdated information stored in memory and communication time delay information from neighbors, a more general kind of distributed consensus algorithm is proposed, which is faster consensus convergence. By applying stochastic stability analysis, model transformation techniques and graph theory, sufficient conditions of mean square consensus and
consensus are obtained, respectively. Finally, simulation examples are given to illustrate the effectiveness of obtained theoretical results.
This is an open access article distributed under the Creative Commons Attribution License
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Share & Cite This Article
MDPI and ACS Style
Miao, G.; Li, G.; Li, T.; Liu, Y. H∞ Consensus Control for Heterogeneous Multi-Agent via Output under Markov Switching Topologies. Electronics 2018, 7, 453.
Miao G, Li G, Li T, Liu Y. H∞ Consensus Control for Heterogeneous Multi-Agent via Output under Markov Switching Topologies. Electronics. 2018; 7(12):453.
Miao, Guoying; Li, Gang; Li, Tao; Liu, Yunping. 2018. "H∞ Consensus Control for Heterogeneous Multi-Agent via Output under Markov Switching Topologies." Electronics 7, no. 12: 453.
Show more citation formats
Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
[Return to top]
For more information on the journal statistics, click here
Multiple requests from the same IP address are counted as one view.