Multiplicative measurement noise can facilitate consensus of multiagent networks.
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Summary
Both of the analytical and numerical results show that the multiplicative measurement noise can facilitate the emergence of the consensus: the convergence rate increases with respect to the noise intensity if the topologies of the underlying networks satisfy some conditions.
- Type
- article
- Published
- 2019-08-01
- Cited by
- 7
- References
- 34
- OpenAlex
- https://openalex.org/W2971105345
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:202929972
Keywords
Multiplicative noise, Multiplicative function, Noise (video), Multi-agent system, Constructive
References
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- Epidemic spreading in scale-free networks.
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- Synchronized multiple spacecraft rotations
- Influence of the number of topologically interacting neighbors on swarm dynamics
- Emergent Behavior in Flocks
- Consensus problems in networks of agents with switching topology and time-delays
- Generation of uncorrelated random scale-free networks.
- Collective dynamics of ‘small-world’ networks
- Consensus Conditions of Multi-Agent Systems With Time-Varying Topologies and Stochastic Communication Noises
- Exploring complex networks
- Finite-Time Consensus Problems for Networks of Dynamic Agents
Cited by
- Stochastic synchronisation of nonlinear networks with additive measurement noise
- Coevolution of consensus and cooperation in evolutionary Hegselmann–Krause dilemma with the cooperation cost
- Anticipation promotes the velocity alignment in collective motion
- Consensus of multi-agent systems with noise-based delayed communications under dynamic Denial-of-Service attacks
- Feasibility of Optimal Formation Under Multiplicative Noise With Energy and Time Constraints
- Consensus of multi-agent systems under variable denial-of-service attacks: Noise-based event-triggered protocols
- Networked collective dynamics in animal ecology and cell biology.
- Realizing stochastic fixed-time synchronization between two nonlinear chaotic finance systems
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