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

Feedback control systems01:26

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...
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,...
Controller Configurations01:22

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...
Vector Functions and Motion: Problem Solving01:30

Vector Functions and Motion: Problem Solving

Accurate position tracking is fundamental to the safe and effective operation of unmanned aerial vehicles (UAVs), particularly during precision maneuvers near complex structures. In this scenario, a drone is programmed to perform a high-precision inspection of a vertical structure, starting at position ((x, y, z) = (3, 0, 0)), with an initial velocity oriented in the positive z-direction. The trajectory of the drone is governed by a time-dependent acceleration function a(t), which is predefined...
Open and closed-loop control systems01:17

Open and closed-loop control systems

Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal and...

You might also read

Related Articles

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

Sort by
Same author

Living with Type 2 diabetes: a family perspective.

Diabetic medicine : a journal of the British Diabetic Association·2007
Same author

Hoverfly (syrphidae) communities respond to varying structural retention after harvesting in canadian peatland black spruce forests.

Environmental entomology·2007
Same author

Application and validation of the lattice Boltzmann method for modelling flow-related clotting.

Journal of biomechanics·2007
Same author

In response to article on CODEIRE study.

Irish medical journal·2007
Same author

Paraneoplastic myopathy: response to intravenous immunoglobulin.

Neuromuscular disorders : NMD·2007
Same author

Structuring diabetes care in general practices: many improvements, remaining challenges.

Irish journal of medical science·2007

Related Experiment Video

Updated: Jul 7, 2026

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

Improving the dynamic response of neural network controllers using velocity reference feedback.

K P Venugopal1, S M Smith

  • 1Dept. of Ocean Eng., Florida Atlantic Univ., Boca Raton, FL.

IEEE Transactions on Neural Networks
|January 1, 1993
PubMed
Summary
This summary is machine-generated.

Neural network controllers can struggle with balancing steady-state error and transient responses. Investigating velocity reference feedback shows it can improve overshoot, risetime, and settling time for underwater vehicle control.

More Related Videos

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli
07:28

A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli

Published on: August 2, 2016

Related Experiment Videos

Last Updated: Jul 7, 2026

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli
07:28

A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli

Published on: August 2, 2016

Area of Science:

  • Robotics
  • Control Systems Engineering
  • Artificial Intelligence

Background:

  • Neural network controllers often face trade-offs between steady-state accuracy and transient performance.
  • Controllers optimized for minimal steady-state error may exhibit undesirable overshoot and slow risetimes.
  • Conversely, controllers prioritizing transient characteristics might not meet steady-state requirements.

Purpose of the Study:

  • To investigate the effectiveness of velocity reference feedback in enhancing neural network controller dynamic responses.
  • To address limitations in transient performance (overshoot, risetime, settling time) of existing neural network controllers.
  • To improve the overall dynamic response of controllers for systems with nonlinear dynamics.

Main Methods:

  • Utilizing a direct control scheme for an underwater vehicle model.
  • Implementing and evaluating a neural network controller augmented with velocity reference feedback.
  • Analyzing key dynamic response metrics including overshoot, risetime, and settling time.

Main Results:

  • Velocity reference feedback demonstrated significant improvements in reducing overshoot.
  • The method effectively decreased risetime, leading to faster system responses.
  • Settling time was also notably improved, indicating enhanced stability and convergence.
  • The direct control scheme facilitated the integration and validation of the feedback method.

Conclusions:

  • Velocity reference feedback is a viable strategy for enhancing the dynamic performance of neural network controllers.
  • This approach effectively mitigates common transient response issues like overshoot and prolonged settling times.
  • The findings are particularly relevant for controlling complex systems with nonlinear dynamics, such as underwater vehicles.