Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Multimachine Stability

Multimachine Stability

Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Exact computation of Lyapunov exponents via system parameters in multi-triangle chaotic maps: Bifurcation analysis and circuit realization.

Chaos (Woodbury, N.Y.)·2026

Same author

Reverse Newhouse-Ruelle-Takens route to chaos and time-dependent Hamiltonian formulation of a generalized Muthuswamy-Chua system.

Chaos (Woodbury, N.Y.)·2026

Same author

Analyzing the relationship between synchronization dynamics in hypernetworks and their single-interaction counterparts.

Chaos (Woodbury, N.Y.)·2025

Same author

Collective behavior of an adapting synapse-based neuronal network with memristive effect and randomness.

Cognitive neurodynamics·2024

Same author

Stability of synchronization manifolds and its nonlinear behaviour in memristive coupled discrete neuron model.

Cognitive neurodynamics·2024

Same author

Unraveling the dynamics of a flux coupled Chialvo neurons and the existence of extreme events.

Cognitive neurodynamics·2024

Same journal

Exploring mechanisms for reversal of flow in tunicate hearts.

Chaos (Woodbury, N.Y.)·2026

Same journal

State estimation in spatiotemporal chaos via low-rank StatFEM.

Chaos (Woodbury, N.Y.)·2026

Same journal

Universal response functions in driven dissipative tunneling dynamics.

Chaos (Woodbury, N.Y.)·2026

Same journal

A network-based approach to characterize the dynamics of the coupling field of thermoacoustic oscillators in annular geometry.

Chaos (Woodbury, N.Y.)·2026

Same journal

Data-driven soliton manifold approximations for dark and bright waves: Some prototypical 1D case examples.

Chaos (Woodbury, N.Y.)·2026

Same journal

Gap junction architecture and synchronization clusters in the thalamic reticular nuclei.

Chaos (Woodbury, N.Y.)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 11, 2025

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

Published on: February 28, 2016

Multistable ghost attractors in a switching laser system.

Gokulakrishnan Sriram¹, Fatemeh Parastesh², Hayder Natiq³

¹Centre for Computational Modelling, Chennai Institute of Technology, Chennai 600069, Tamil Nadu, India.

Chaos (Woodbury, N.Y.)

|November 15, 2023

Summary

This summary is machine-generated.

This study explores how a switching parameter affects a multistable laser model. The research reveals that the blinking attractor can differ from the average attractor, especially when parameter values are distant from their mean.

More Related Videos

Low-cost Custom Fabrication and Mode-locked Operation of an All-normal-dispersion Femtosecond Fiber Laser for Multiphoton Microscopy

Low-cost Custom Fabrication and Mode-locked Operation of an All-normal-dispersion Femtosecond Fiber Laser for Multiphoton Microscopy

Published on: November 22, 2019

Fabrication and Operation of a Nano-Optical Conveyor Belt

Fabrication and Operation of a Nano-Optical Conveyor Belt

Published on: August 26, 2015

Related Experiment Videos

Last Updated: Jul 11, 2025

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

Published on: February 28, 2016

Low-cost Custom Fabrication and Mode-locked Operation of an All-normal-dispersion Femtosecond Fiber Laser for Multiphoton Microscopy

Low-cost Custom Fabrication and Mode-locked Operation of an All-normal-dispersion Femtosecond Fiber Laser for Multiphoton Microscopy

Published on: November 22, 2019

Fabrication and Operation of a Nano-Optical Conveyor Belt

Fabrication and Operation of a Nano-Optical Conveyor Belt

Published on: August 26, 2015

Area of Science:

Nonlinear Dynamics
Laser Physics
Chaos Theory

Background:

Multistable laser models exhibit complex dynamics across parameter ranges.
The behavior of such systems can be influenced by periodic parameter switching.
Ghost attractors in multistable systems are known to depend on initial conditions.

Purpose of the Study:

To investigate the impact of a periodically switching parameter on the dynamics of a multistable laser model.
To analyze the emergence of ghost attractors under parameter switching conditions.
To compare the blinking attractor with the average attractor in a switching system.

Main Methods:

Numerical simulation of a multistable laser model with a periodically switching parameter.
Analysis of system dynamics based on initial conditions.
Comparison of attractor behavior under different switching parameter values.

Main Results:

The presence and nature of ghost attractors depend on initial conditions and the chaotic nature of subsystems.
The blinking attractor can differ from the average attractor, contrary to previous findings.
The discrepancy between blinking and average attractors diminishes as switching parameter values approach their mean.

Conclusions:

Periodic parameter switching in multistable laser systems leads to unique dynamical behaviors.
The study highlights conditions under which the blinking attractor deviates from the average attractor.
Initial conditions and parameter switching characteristics are crucial for understanding laser system dynamics.