Decentralized coupling-when-needed strategy for the synchronization of networked oscillators with delays
Francesco Sorrentino1, Ira B Schwartz2
1University of New Mexico, Department of Mechanical Engineering, Albuquerque, New Mexico 87131, USA.
Physical Review. E
|February 20, 2025
Summary
Researchers explored coupled laser synchronization, using attractor reactivity to reduce control needs. This method efficiently synchronizes networks with feedback and communication delays.
Area of Science:
- Nonlinear Dynamics and Control Systems
- Optics and Photonics
- Complex Networks
Background:
- The stability of synchronous solutions in networks of coupled oscillators is well-studied, with Lyapunov exponents determining asymptotic stability.
- Time delays in coupled systems can significantly alter dynamics, affecting both individual oscillators and inter-node coupling.
- Transverse reactivity characterizes transient perturbation growth on attractors, offering insights beyond average stability measures.
Purpose of the Study:
- To investigate the role of attractor reactivity in the synchronization of coupled laser networks.
- To develop and implement an efficient synchronization strategy leveraging knowledge of attractor reactivity.
- To address synchronization challenges in networks with self-feedback and communication delays.
Main Methods:
- Analysis of coupled laser networks with self-feedback and communication delays.
- Characterization of attractor transverse reactivities within these networks.
- Implementation of a synchronization strategy guided by attractor reactivity insights.
Main Results:
- Demonstrated that attractor reactivity varies across different regions of the chaotic or periodic attractor.
- Successfully implemented an efficient synchronization strategy for coupled laser networks.
- The proposed strategy effectively reduces the amount of control required for synchronization.
Conclusions:
- Knowledge of attractor reactivity is crucial for understanding and controlling transient dynamics in coupled systems.
- Leveraging attractor reactivity enables efficient synchronization of complex laser networks with delays.
- This approach offers a pathway to minimize control effort in achieving synchronized states.
Related Concept Videos
Time and frequency -Domain Interpretation of Phase-lag Control
81
Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
81
Oscillations In An LC Circuit
2.2K
An idealized LC circuit of zero resistance can oscillate without any source of emf by shifting the energy stored in the circuit between the electric and magnetic fields. In such an LC circuit, if the capacitor contains a charge q before the switch is closed, then all the energy of the circuit is initially stored in the electric field of the capacitor. This energy is given by
2.2K
Time and frequency -Domain Interpretation of Phase-lead Control
75
Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
75
Phase-lead and Phase-lag Controllers
151
Understanding the working function of different types of controllers can be illustrated with practical analogies, such as adjusting a stereo's volume equalizer. Cranking up the bass involves a phase-lead controller, which functions as a high-pass filter, while increasing the treble uses a phase-lag controller, which acts as a low-pass filter. PD controllers, similar to high-pass filters, enhance the system's response to high-frequency components. PI controllers, akin to low-pass...
151
RLC Circuit as a Damped Oscillator
844
An RLC circuit combines a resistor, inductor, and capacitor, connected in a series or parallel combination.
Consider a series RLC circuit. Here, the presence of resistance in the circuit leads to energy loss due to joule heating in the resistance. Therefore, the total electromagnetic energy in the circuit is no longer constant and decreases with time. Since the magnitude of charge, current, and potential difference continuously decreases, their oscillations are said to be damped. This is...
Consider a series RLC circuit. Here, the presence of resistance in the circuit leads to energy loss due to joule heating in the resistance. Therefore, the total electromagnetic energy in the circuit is no longer constant and decreases with time. Since the magnitude of charge, current, and potential difference continuously decreases, their oscillations are said to be damped. This is...
844
Linear time-invariant Systems
208
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
208


