Journal article
Distributed-observer-based cooperative control for synchronization of linear discrete-time multi-agent systems
ISA transactions, v 59, pp 72-78
01 Nov 2015
PMID: 26365366
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper considers output synchronization of discrete-time multi-agent systems with directed communication topologies. The directed communication graph contains a spanning tree and the exosystem as its root Distributed observer-based consensus protocols are proposed, based on the relative outputs of neighboring agents. A multi-step algorithm is presented to construct the observer-based protocols. In light of the discrete-time algebraic Riccati equation and internal model principle, synchronization problem is completed. At last, numerical simulation is provided to verify the effectiveness of the theoretical results. (C) 2015 ISA. Published by Elsevier Ltd. All rights reserved.
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Details
- Title
- Distributed-observer-based cooperative control for synchronization of linear discrete-time multi-agent systems
- Creators
- Hongjing Liang - Northeastern UniversityHuaguang Zhang - Northeastern UniversityZhanshan Wang - Northeastern UniversityHualou Liang - School of Biomedical Engineering, Science, and Health Systems (1997-)
- Publication Details
- ISA transactions, v 59, pp 72-78
- Publisher
- Elsevier
- Number of pages
- 7
- Grant note
- 2013ZCX14 / IAPI Fundamental Research Funds 2012AA040104 / National High Technology Research and Development Program of China development project of key laboratory of Liaoning province 61034005; 61433004 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000366534900008
- Scopus ID
- 2-s2.0-84947616073
- Other Identifier
- 991019320713704721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Automation & Control Systems
- Engineering, Multidisciplinary
- Instruments & Instrumentation