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Leaderless consensus for the fractional-order nonlinear multi-agent systems under directed interaction topology
- Source :
- International Journal of Systems Science, International Journal of Systems Science, Taylor & Francis, 2018, 49 (5), pp.954-963. ⟨10.1080/00207721.2018.1435837⟩, International Journal of Systems Science, 2018, 49 (5), pp.954-963. ⟨10.1080/00207721.2018.1435837⟩
- Publication Year :
- 2018
- Publisher :
- Informa UK Limited, 2018.
-
Abstract
- Leaderless consensus for the fractional-order nonlinear multi-agent systems is investigated in this paper. At the first part, a control protocol is proposed to achieve leaderless consensus for the nonlinear single-integrator multi-agent systems. At the second part, based on sliding mode estimator, a control protocol is given to solve leaderless consensus for the the nonlinear single-integrator multi-agent systems. It shows that the control protocol can improve the systems’ convergence speed. At the third part, a control protocol is designed to accomplish leaderless consensus for the nonlinear double-integrator multi-agent systems. To judge the systems’ stability in this paper, two classic continuous Lyapunov candidate functions are chosen. Finally, several worked out examples under directed interaction topology are given to prove above results.
- Subjects :
- Lyapunov function
0209 industrial biotechnology
Computer science
Multi-agent system
Stability (learning theory)
Estimator
Topology (electrical circuits)
02 engineering and technology
Topology
Computer Science Applications
Theoretical Computer Science
Computer Science::Multiagent Systems
symbols.namesake
Nonlinear system
020901 industrial engineering & automation
Control and Systems Engineering
[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering
Convergence (routing)
0202 electrical engineering, electronic engineering, information engineering
symbols
020201 artificial intelligence & image processing
Protocol (object-oriented programming)
ComputingMilieux_MISCELLANEOUS
Subjects
Details
- ISSN :
- 14645319 and 00207721
- Volume :
- 49
- Database :
- OpenAIRE
- Journal :
- International Journal of Systems Science
- Accession number :
- edsair.doi.dedup.....9501659d2aa07862b8c8e6dfb2000b2f
- Full Text :
- https://doi.org/10.1080/00207721.2018.1435837