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Seeking Tracking Consensus for General Linear Multiagent Systems With Fixed and Switching Signed Networks
- Source :
- IEEE Transactions on Cybernetics. 52:6697-6706
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- The existing studies for tracking consensus of multiagent systems (MASs) are all restricted to networks with only cooperative relationships among agents. Tracking consensus, however, requires beyond these traditional models due to the ubiquitous competition in many real-world MASs, such as biological systems and social systems. Taking into account this fact, this article aims to extend the dynamics of tracking consensus to signed networks containing both cooperative and competitive relationships among agents. A group of agents with general linear dynamics is considered. The cases of the fixed network as well as switching networks are analyzed, respectively. In the end, some algebraic conditions related to the network structure and the positive/negative edge weight are established to ensure the implementation of tracking consensus. Moreover, the single decoupling system is allowed to be strictly unstable in theory, and the upper bound of the eigenvalue modulus of the system matrix related to the system instability is given.
- Subjects :
- Mathematical optimization
Consensus
Computer science
Group (mathematics)
Multi-agent system
02 engineering and technology
Decoupling (cosmology)
Models, Theoretical
Tracking (particle physics)
Upper and lower bounds
Computer Science Applications
Computer Science::Multiagent Systems
Human-Computer Interaction
Nonlinear Dynamics
Control and Systems Engineering
0202 electrical engineering, electronic engineering, information engineering
Computer Simulation
020201 artificial intelligence & image processing
Enhanced Data Rates for GSM Evolution
Electrical and Electronic Engineering
Algorithms
Software
Information Systems
Subjects
Details
- ISSN :
- 21682275 and 21682267
- Volume :
- 52
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Cybernetics
- Accession number :
- edsair.doi.dedup.....ea35a8a8048884326637a713e4807599
- Full Text :
- https://doi.org/10.1109/tcyb.2020.3034636