Selection and optimization of drive nodes in drive-response networks
Zihao Yan1, Ziye Fan1,2, Jie Hu1
1School of Mathematics and Statistics, Wuhan University, Hubei 430072, China.
Chaos (Woodbury, N.Y.)
|January 30, 2025
Summary
Optimizing control in multilayer networks requires careful selection of drive nodes. This study reveals drive nodes can be minimized by analyzing the drive layer
Area of Science:
- Complex Networks
- Control Theory
- Systems Engineering
Background:
- Multilayer networks are prevalent in various systems, from biological to technological.
- Controllability of these networks is crucial for understanding and manipulating their behavior.
- Drive-response systems within multilayer networks present unique challenges for node selection.
Purpose of the Study:
- To investigate the selection and optimization of drive nodes in multilayer networks.
- To determine the minimum number of drive nodes required for network control.
- To propose an optimization scheme for reducing drive node requirements.
Main Methods:
- Analysis of controllability in multilayer networks with arbitrary intra-layer topologies.
- Investigation of linear time-invariant dynamical systems for node dynamics.
- Application of the Gershgorin circle theorem for optimization.
Main Results:
- Drive nodes cannot be exclusively in the response layer but can reside in the drive layer.
- The minimum number of drive nodes in the drive layer equals the maximum geometric multiplicity of its system matrix.
- Interlayer coupling significantly influences drive node number and distribution.
Conclusions:
- The placement and number of drive nodes are critical for network controllability.
- An optimization scheme effectively reduces the required number of drive nodes.
- Findings are validated through numerical simulations on diverse network structures.
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