Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
PD Controller: Design01:26

PD Controller: Design

In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Control Systems01:10

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
Generator Voltage Control01:21

Generator Voltage Control

Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand, use...
Control of Power Flow01:30

Control of Power Flow

There are several methods to control power flow in power systems:
Transient and Steady-state Response01:24

Transient and Steady-state Response

In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state response.

You might also read

Related Articles

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

Sort by
Same author

Stochastic field effects in a two-state system: Symmetry breaking and symmetry restoring.

Physical review. E·2026
Same author

Deep-learning-assisted simulation of a cortical circuit: integrating anatomy, physiology and function.

bioRxiv : the preprint server for biology·2026
Same author

Numerical methods for quasi-stationary distributions.

Physical review. E·2026
Same author

Correction: Modeling circuit mechanisms of opposing cortical responses to visual flow perturbations.

PLoS computational biology·2026
Same author

Forecasting emergency department visits in the reference hospital of the Balearic Islands: The role of tourist and weather data.

PloS one·2026
Same author

Information-theoretic analysis of temporal dependence in discrete stochastic processes: Application to precipitation predictability.

Chaos (Woodbury, N.Y.)·2026
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles

Related Experiment Video

Updated: Jun 22, 2026

Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

Predict-prevent control method for perturbed excitable systems.

Marzena Ciszak1, Claudio R Mirasso, Raúl Toral

  • 1C.N.R.-Istituto Nazionale di Ottica Applicata, 50125 Florence, Italy.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|June 13, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a two-step control method using anticipated synchronization to predict system behavior and a prevention signal to lower excitability, effectively controlling perturbations in excitable systems.

More Related Videos

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

Related Experiment Videos

Last Updated: Jun 22, 2026

Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

Area of Science:

  • Nonlinear dynamics
  • Control theory
  • Complex systems

Background:

  • Excitable systems are susceptible to external perturbations.
  • Controlling the behavior of such systems is crucial in various scientific fields.
  • Existing control methods may lack efficiency or broad applicability.

Purpose of the Study:

  • To develop and validate a novel two-step control method for excitable systems.
  • To predict and prevent unwanted system responses to external perturbations.
  • To demonstrate the efficacy of the proposed control strategy through theoretical and experimental means.

Main Methods:

  • Utilizing an anticipated synchronization scheme with unidirectional coupling in a master-slave configuration.
  • Employing a master system (perturbed) and a slave system (auxiliary predictor).
  • Implementing a prevention step by sending a control signal to temporarily reduce the master system's excitability threshold.

Main Results:

  • The anticipated synchronization scheme successfully predicted the master system's behavior.
  • The control signal effectively prevented the master system's reaction to perturbations.
  • Both theoretical analysis and experimental validation confirmed the efficiency of the proposed control method.

Conclusions:

  • The presented two-step prediction-prevention control method offers an efficient approach for managing excitable systems.
  • Anticipated synchronization provides a robust mechanism for behavior prediction in coupled systems.
  • The method demonstrates practical applicability in controlling perturbations within complex dynamical systems.