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

755
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...
755
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

1.0K
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
1.0K
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

426
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...
426
Linear time-invariant Systems01:23

Linear time-invariant Systems

1.0K
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
1.0K
PD Controller: Design01:26

PD Controller: Design

688
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,...
688
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

805
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
805

You might also read

Related Articles

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

Sort by
Same author

Event-triggered fuzzy logic control for an uncertain robot with coupled output constraints.

ISA transactions·2026
Same author

WormSORT: A detection-based multiple object tracking model for individual silkworms in breeding environments.

PLoS computational biology·2026
Same author

Window-to-window BEV representation learning for limited FoV cross-view geo-localization.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

ImagineNav++: Prompting Vision-Language Models as Embodied Navigator through Scene Imagination.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Research progress on chemical metabolites, processing technologies, and pharmacological activities of asperosaponin VI: a systematic review and critical evaluation.

Frontiers in pharmacology·2026
Same author

Nash Equilibrium Strategies for Multicluster Pursuit-Evasion Game With Disturbances: A Prescribed-Time Convergence Approach.

IEEE transactions on cybernetics·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
Same journal

CAFF-CIL: Causality-Aware Freedom Forgetting Approach for Class-Incremental Learning.

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

Harmonic Autoencoding Framework for Multiple Tasks in Magnetic Particle Imaging Reconstruction.

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

A Survey on Human-Centric Voice-Face Multimodal Learning.

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

Vision-Assisted Foundation Model for Solving Multitask Vehicle Routing Problems.

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

FP3O: Enabling Proximal Policy Optimization in Multiagent Cooperation With Parameter-Sharing Versatility.

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

Related Experiment Video

Updated: Mar 8, 2026

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

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

Published on: August 15, 2020

5.5K

Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints.

Lu Dong, Xiangnan Zhong, Changyin Sun

    IEEE Transactions on Neural Networks and Learning Systems
    |January 24, 2017
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an event-triggered control system for nonlinear systems with actuator constraints. It uses an actor-critic framework and aperiodic control updates to reduce costs while ensuring system stability.

    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

    5.2K

    Related Experiment Videos

    Last Updated: Mar 8, 2026

    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
    08:18

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

    Published on: August 15, 2020

    5.5K
    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

    5.2K

    Area of Science:

    • Control Theory
    • Nonlinear Systems
    • Optimization

    Background:

    • Control constraints due to saturating actuators pose challenges in nonlinear systems.
    • Traditional control methods may incur high computational and transmission costs.

    Purpose of the Study:

    • To develop an event-triggered near-optimal control structure for nonlinear continuous-time systems with control constraints.
    • To reduce computational and transmission costs through aperiodic control signal updates.

    Main Methods:

    • Formulation of the Hamilton-Jacobi-Bellman (HJB) equation using a nonquadratic cost function.
    • Implementation of an actor-critic framework for approximating the cost function and optimal control law.
    • Development of an event-triggered condition for aperiodic network updates and control signal transmission.

    Main Results:

    • The actor-critic framework effectively approximates the cost function and optimal control law.
    • Aperiodic control signal transmission significantly reduces computational and transmission costs.
    • Lyapunov analysis confirms the ultimate boundedness of the closed-loop event-triggered system.

    Conclusions:

    • The proposed event-triggered near-optimal control structure is effective for nonlinear systems with control constraints.
    • The method offers a promising approach to reduce resource utilization in control systems.
    • Demonstrated effectiveness through three case studies.