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Quantifying the degree of locking in weakly forced stochastic systems
Jordi Tiana-Alsina1, Carlos Quintero-Quiroz1, M C Torrent1
1Departament de Física, Universitat Politècnica de Catalunya, Rambla St. Nebridi 2, 08222 Terrassa, Barcelona, Spain.
This study introduces a novel method using receiver operating characteristic (ROC) curves to precisely quantify how external signals control stochastic nonlinear systems, like semiconductor lasers. The ROC analysis effectively identifies optimal parameters for precise signal locking.
Area of Science:
- Nonlinear Dynamics
- Laser Physics
- Control Theory
Background:
- Controlling stochastic nonlinear systems with small signals is crucial for many applications.
- Existing methods for quantifying signal locking lack precision.
- Semiconductor lasers with optical feedback exhibit random spiking, posing a control challenge.
Purpose of the Study:
- To develop a precise method for quantifying signal locking in stochastic nonlinear systems.
- To investigate the control of optical spike emission in a semiconductor laser using electric perturbations.
- To demonstrate the general applicability of the proposed method to other stochastic systems.
Main Methods:
- Utilized a semiconductor laser with optical feedback operating in a spiking regime.
- Quantified spike locking using success rate (SR) and false positive rate (FPR).
- Employed receiver operating characteristic (ROC) curve analysis (SR vs. FPR) to assess control effectiveness.
Main Results:
- The ROC curve analysis precisely identified parameter regions for full control of laser spikes.
- Demonstrated that optimal parameters allow the laser to emit exactly one spike per perturbation.
- Successfully applied ROC analysis to a stochastic bistable system under square-wave forcing, identifying best locking parameters.
Conclusions:
- ROC curve analysis provides a robust and generalizable method for quantifying signal locking in stochastic nonlinear systems.
- This approach offers a significant improvement over traditional spectral or correlation analyses.
- The findings have broad implications for controlling complex dynamical systems in various scientific and engineering fields.
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