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Consensus analysis of fractional-order nonlinear multi-agent systems with distributed and input delays
- Source :
- Neurocomputing. 329:46-52
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Fractional-order nonlinear multi-agent systems with distributed and input delays are considered, in which the topology of multi-agent system corresponds to a directed weighted graph or an undirected weighted graph. Several algebraic conditions on leader-following consensus are presented by using fractional-order Razumikhin approach and algebraic graph theory. Finally, we present two numerical examples to illustrate those conditions proposed are feasible and convenient to evaluate consensus.
- Subjects :
- 0209 industrial biotechnology
Computer science
Cognitive Neuroscience
Multi-agent system
02 engineering and technology
Topology
Graph
Computer Science Applications
Computer Science::Multiagent Systems
Algebraic graph theory
Nonlinear system
020901 industrial engineering & automation
Consensus analysis
Artificial Intelligence
0202 electrical engineering, electronic engineering, information engineering
Graph (abstract data type)
020201 artificial intelligence & image processing
Algebraic number
Subjects
Details
- ISSN :
- 09252312
- Volume :
- 329
- Database :
- OpenAIRE
- Journal :
- Neurocomputing
- Accession number :
- edsair.doi...........722e36a31114a6b9929e0bdbf2bedf26
- Full Text :
- https://doi.org/10.1016/j.neucom.2018.10.045