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

Time-Domain Interpretation of PD Control

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...

Feedback control systems

Feedback control systems

Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...

First Order Systems

First Order Systems

First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...

Controller Configurations

Controller Configurations

Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller aligns...

Routh-Hurwitz Criterion I

Routh-Hurwitz Criterion I

Consider an electrical power grid, where stability is essential to prevent blackouts. The Routh-Hurwitz criterion is a valuable tool for assessing system stability under varying load conditions or faults. By analyzing the closed-loop transfer function, the Routh-Hurwitz criterion helps determine whether the system remains stable.
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...

The Swing Equation

The Swing Equation

The Swing Equation is a fundamental tool in power system dynamics, especially for analyzing the behavior of generating units like three-phase synchronous generators. This equation emerges from applying Newton's second law to the rotor of a generator, encompassing factors such as inertia, angular acceleration, and the interplay between mechanical and electrical torques.
In a steady-state operation, the mechanical torque (Τm) supplied to the generator is balanced by the electrical torque (Τe)...

You might also read

Related Articles

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

Sort by

Same author

Evolutionary quantum minority game: A wireless network application.

Chaos (Woodbury, N.Y.)·2018

Same author

Chaos in kicked ratchets.

Physical review. E, Statistical, nonlinear, and soft matter physics·2015

Same author

Stretching DNA to quantify nonspecific protein binding.

Physical review. E, Statistical, nonlinear, and soft matter physics·2012

Same author

Adhesion failures determine the pattern of choroidal neovascularization in the eye: a computer simulation study.

PLoS computational biology·2012

Same author

Shock detection in dynamics of single-headed motor proteins KIF1A via Jensen-Shannon divergence.

Physical review. E, Statistical, nonlinear, and soft matter physics·2011

Same author

Determination of the number of proteins bound non-specifically to DNA.

Journal of physics. Condensed matter : an Institute of Physics journal·2011

Search research articles

Related Experiment Video

Updated: May 31, 2026

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

Chaotic dynamics and control of deterministic ratchets.

Fereydoon Family¹, H A Larrondo, D G Zarlenga

¹Department of Physics, Emory University, Atlanta, GA 30322, USA.

Journal of Physics. Condensed Matter : an Institute of Physics Journal

|June 22, 2011

Summary

Deterministic ratchets exhibit complex dynamics, including chaos, mimicking noise effects. Researchers explore strategies to control particle current direction in ratchets for applications like biological separation.

More Related Videos

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

Related Experiment Videos

Last Updated: May 31, 2026

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

Area of Science:

Physics
Nonlinear Dynamics
Statistical Mechanics

Background:

Deterministic ratchets display complex dynamics, including chaos, which can mimic noise effects.
Inertial ratchets can exhibit multiple current reversals, influenced by friction and inertia, offering potential for particle separation technologies.

Purpose of the Study:

To overview strategies for controlling the particle current in inertial ratchets.
To review control mechanisms for overdamped motion in rocking periodic asymmetric potentials.

Main Methods:

Analysis of control parameters: external force strength/frequency, quenched noise strength, and particle mass.
Investigating fractal nature of basins of attraction for mean velocity attractors.
Focusing on synchronization of particle motion with external sinusoidal driving force in both ordered and disordered lattices.

Main Results:

Control mechanisms for inertial ratchets are linked to the fractal properties of attractor basins.
Synchronization of overdamped particle motion can be achieved by adjusting driving force amplitude and quenched noise strength.

Conclusions:

Deterministic ratchets offer tunable dynamics for particle manipulation.
Understanding chaotic dynamics and fractal structures is key to controlling particle transport in ratchets for technological applications.