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

Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

682
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
682
Feedback control systems01:26

Feedback control systems

308
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...
308
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

518
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
518
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

109
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...
109
Open and closed-loop control systems01:17

Open and closed-loop control systems

740
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...
740
Linear time-invariant Systems01:23

Linear time-invariant Systems

258
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...
258

You might also read

Related Articles

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

Sort by
Same author

An innovative germination-driven LAB fermentation strategy for allergenicity reduction in soymilk gels through spatiotemporal protease-mediated epitope disruption.

Food & function·2026
Same author

Organophosphate esters accumulation induces ovarian dysfunctions: From epidemiological evidence to the exploration of ferroptosis mechanism.

Chemico-biological interactions·2026
Same author

Oxygen-regulated cascade fermentation to improve the quality of wet Spirulina by off-flavor mitigation, bioactivity enhancement, and coordinated control of biogenic amines.

International journal of food microbiology·2026
Same author

Global Risk Assessment of the Invasive Insect Thaumatotibia leucotreta to Citrus Based on its Potential Distribution.

Neotropical entomology·2026
Same author

Impact of drying temperature-induced protein conformational changes on the regulation of intermolecular interactions and gelation in pea starch-Spirulina composite gel.

Carbohydrate polymers·2026
Same author

A general controller-based dynamic linearized model-free adaptive control and its application to PMLSM.

ISA transactions·2026
Same journal

A robust ATUB-Net for bearing fault diagnosis under unbalanced sample scenarios.

ISA transactions·2026
Same journal

Data-driven trajectory tracking control of UAV systems under a novel probability-selection event-triggered mechanism.

ISA transactions·2026
Same journal

Predefined-time affine formation tracking control of unmanned surface vehicles with input saturation via adaptive fuzzy observers.

ISA transactions·2026
Same journal

Adaptive fault-tolerant safety-guaranteed fuzzy event-triggered rendezvous control for heterogeneous USV-UUV systems.

ISA transactions·2026
Same journal

Two-stage maximum likelihood weighted recursive least squares algorithm for nonlinear systems and an application in wind tunnel systems.

ISA transactions·2026
Same journal

Enhancing interpretable soft sensing with embedded hybrid modeling: the GraphTrans approach for industrial processes.

ISA transactions·2026
See all related articles

Related Experiment Video

Updated: Jul 1, 2025

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

5.0K

Event-triggered based predictive iterative learning control with random packet loss compensation for nonlinear

Qiongxia Yu1, Zhihao Fan1, Xuhui Bu1

  • 1Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment, School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454003, China.

ISA Transactions
|March 8, 2024
PubMed
Summary
This summary is machine-generated.

A new event-triggered predictive iterative learning control method compensates for random packet loss in networked systems. This approach improves control performance and reduces communication load for unknown nonlinear systems.

Keywords:
Event-triggered control (ETC)Iterative learning control (ILC)Networked control systems (NCSs)Predictive iterative learning control (PILC)Random packet loss compensation

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

4.4K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K

Related Experiment Videos

Last Updated: Jul 1, 2025

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

5.0K
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

4.4K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K

Area of Science:

  • Control Engineering
  • Networked Systems
  • Nonlinear Systems

Background:

  • Networked systems face challenges with random packet loss (RPL), degrading control performance.
  • Iterative learning control (ILC) is effective for repetitive tasks but sensitive to data loss.
  • Existing methods may not adequately address both RPL and communication efficiency.

Purpose of the Study:

  • To propose a novel event-triggered predictive iterative learning control (ET-PILC) method.
  • To enhance robustness against random packet loss (RPL) in unknown nonlinear networked systems.
  • To reduce communication and computational overhead.

Main Methods:

  • Developed a random packet loss compensation (RPLC) mechanism using historical and predictive data.
  • Designed an event-triggered condition based on the RPLC mechanism.
  • Theoretically analyzed the convergence of modeling and tracking errors.

Main Results:

  • The proposed RPLC mechanism effectively mitigates performance degradation caused by RPL.
  • The event-triggered condition conserves communication resources and computational load.
  • Theoretical analysis confirmed the convergence of errors, validated by simulations.

Conclusions:

  • The novel ET-PILC with RPLC is effective for unknown nonlinear networked systems with RPL.
  • The method achieves robust control performance while optimizing resource utilization.
  • This work offers a significant advancement in networked control systems engineering.