The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Distributed tracking control of leader–follower multi-agent systems under noisy measurement
Open accessAbstract
In this paper, a distributed tracking control scheme with distributed estimators has been developed for a leader-follower multi-agent system with measurement noises and directed interconnection topology. It is supposed that each follower can only measure the relative positions of its neighbors in a noisy environment, including the relative position of the second-order active leader. A neighbor-based tracking protocol together with distributed estimators is designed based on a novel velocity decomposition technique. It is shown that the closed loop tracking control system is stochastically stable in mean square and the estimation errors converge to zero in mean square as well. A simulation example is finally given to illustrate the performance of the proposed control scheme.
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Cites
Coordination of groups of mobile autonomous agents using nearest neighbor rules
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Ren, W., & Beard, R. W. (2005) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2005.846556 · Cited by 6,569
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Information Flow and Cooperative Control of Vehicle Formations
Fax, J. A., & Murray, R. M. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.834433 · Cited by 4,579
Tracking control for multi-agent consensus with an active leader and variable topology
Hong, Y., Hu, J., & Gao, L. (2006) · Automatica · doi:10.1016/j.automatica.2006.02.013 · Cited by 2,055
Self-citationStochastic Differential Equations and Applications
(1976) · Elsevier eBooks · doi:10.1016/c2013-0-07333-1 · Cited by 1,375
A vision-based formation control framework
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Cited by
Distributed Tracking Control for Linear Multiagent Systems With a Leader of Bounded Unknown Input
Li, Z., Liu, X., Ren, W., & Xie, L. (2013) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2012.2208295 · Cited by 552
Distributed consensus tracking for multi‐agent systems under two types of attacks
Feng, Z., Hu, G., & Wen, G. (2016) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.3342 · Cited by 258
Metadata
- Authors
- Hu, J., & Feng, G.
- Venue
- Automatica
- Publisher
- Elsevier BV
- Published
- 2010-08
- Volume
- 46
- Issue
- 8
- Pages
- 1382-1387
- ISSN
- 0005-1098 (ISSN-L)
- OpenAlex
- W1981685742
- Cited by
- 488
- References
- 18
- FWCI
- 31.14
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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