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

PD Controller: Design01:26

PD Controller: Design

690
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,...
690
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

430
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...
430

You might also read

Related Articles

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

Sort by
Same author

Efficient and Scalable Tuning of Continuous Impedance Control for Powered Knee Prostheses.

IEEE robotics and automation letters·2026
Same author

Towards adaptive optimal personalization control of robotic hip exoskeleton assistance for individuals with paretic stroke.

IEEE transactions on bio-medical engineering·2026
Same author

Birthdate aligns vestibular sensory neurons with central and motor partners across a sensorimotor reflex circuit for gaze stabilization.

Development (Cambridge, England)·2026
Same author

Impaired perception of Mooney faces in developmental prosopagnosia.

Cognition·2025
Same author

Guided Training with Visual Feedback can Improve Direct Electromyography Control of Prosthetic Ankles and Sit-to-Stand Performance: A Case Study.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same author

An Offline Reinforcement Learning-Based Auto-Tuning Framework for Continuous Impedance Control in Powered Prostheses.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same journal

Intervention Feasible Region and Driver Risk Capacity Aware Human-Machine Collaborative Safe Trajectory Planning.

IEEE transactions on neural networks and learning systems·2026
Same journal

A Unified Differential Denoising Learning Framework With a Pre-Trained Model and Fuzzy Graph Networks for Drug-Drug Interaction Prediction.

IEEE transactions on neural networks and learning systems·2026
Same journal

Self-Supervised Continuous Dynamic Graph Representation Learning via Hawkes Processes.

IEEE transactions on neural networks and learning systems·2026
Same journal

cPU: Consistent Risk Estimator for Positive-Unlabeled Learning.

IEEE transactions on neural networks and learning systems·2026
Same journal

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing.

IEEE transactions on neural networks and learning systems·2026
Same journal

Hidden Data Recovery and Forecasting via Next-Generation Reservoir Computing With Multiscale Delay Selection.

IEEE transactions on neural networks and learning systems·2026
See all related articles

Related Experiment Video

Updated: Mar 17, 2026

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
11:16

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Published on: July 22, 2014

16.8K

A New Powered Lower Limb Prosthesis Control Framework Based on Adaptive Dynamic Programming.

Yue Wen, Jennie Si, Xiang Gao

    IEEE Transactions on Neural Networks and Learning Systems
    |July 15, 2016
    PubMed
    Summary
    This summary is machine-generated.

    Adaptive dynamic programming (ADP) offers a novel solution for controlling prosthetic legs, enabling adaptive tuning of knee joint impedance for balanced walking. This model-free approach demonstrated superior performance over existing methods in simulations.

    More Related Videos

    A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
    06:58

    A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

    Published on: November 6, 2015

    10.3K
    Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
    08:08

    Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis

    Published on: May 8, 2014

    17.4K

    Related Experiment Videos

    Last Updated: Mar 17, 2026

    Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
    11:16

    Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

    Published on: July 22, 2014

    16.8K
    A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
    06:58

    A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

    Published on: November 6, 2015

    10.3K
    Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
    08:08

    Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis

    Published on: May 8, 2014

    17.4K

    Area of Science:

    • Robotics
    • Biomedical Engineering
    • Control Systems

    Background:

    • Current prosthetic leg control (FS-IC) lacks adaptability to user needs.
    • Manual impedance tuning is time-consuming and heuristic.
    • Need for advanced control for wearable robots assisting amputees.

    Purpose of the Study:

    • To demonstrate adaptive dynamic programming (ADP) for optimal control of prosthetic legs.
    • To automatically tune knee joint impedance parameters during gait.
    • To achieve balanced walking using model-free ADP algorithms.

    Main Methods:

    • Applied model-free adaptive dynamic programming (ADP) algorithms.
    • Utilized direct heuristic dynamic programming (dHDP) and neural fitted Q with continuous action (NFQCA).
    • Evaluated performance in OpenSim, a dynamic walking simulator.

    Main Results:

    • Both ADP controllers successfully learned to control the knee joint for balanced walking.
    • Direct heuristic dynamic programming (dHDP) outperformed NFQCA.
    • Demonstrated feasibility of ADP for tuning twelve knee joint impedance parameters.

    Conclusions:

    • ADP provides a feasible and effective method for adaptive control of lower limb prostheses.
    • Model-free ADP algorithms can automatically optimize prosthetic leg control for improved gait.
    • dHDP shows promise for enhancing prosthetic leg functionality and user mobility.