Estimating Network Connectivity Using Delayed Feedback Control
Author Information
Author(s): Yu Dongchuan, Parlitz Ulrich
Primary Institution: Southeast University, Nanjing, Jiangsu, China
Hypothesis
Can delayed feedback control be used to estimate the topology of complex networks?
Conclusion
The study demonstrates that network connectivity can be effectively inferred using a control-based approach that utilizes delayed feedback.
Supporting Evidence
- The method allows for topology estimation even when only one state variable of each node is measurable.
- The study presents a new approach that does not rely on high-gain control, making it less sensitive to measurement noise.
- The proposed method can be applied to networks with complex dynamics and does not depend on steady-state assumptions.
Takeaway
This study shows a way to figure out how different parts of a network are connected by using a special control method that helps stabilize the network.
Methodology
The study employs a control-based approach to drive networks to steady states and infers connectivity through structural perturbations and matrix optimization techniques.
Limitations
The method may not be effective for densely connected networks and requires that the network can be driven to a steady state.
Digital Object Identifier (DOI)
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