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

Control Systems: Applications01:25

Control Systems: Applications

844
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
844
Control Systems01:10

Control Systems

1.5K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.5K
Feedback control systems01:26

Feedback control systems

479
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...
479
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.1K
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...
1.1K
Control System Problem01:21

Control System Problem

206
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
206
Controller Configurations01:22

Controller Configurations

184
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...
184

You might also read

Related Articles

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

Sort by
Same author

Backstepping Controller for Nanopositioning in Piezoelectric Actuators with ANN Hysteresis Compensation.

Micromachines·2025
Same author

Architectures for Industrial AIoT Applications.

Sensors (Basel, Switzerland)·2024
Same author

Combined Control for a Piezoelectric Actuator Using a Feed-Forward Neural Network and Feedback Integral Fast Terminal Sliding Mode Control.

Micromachines·2024
Same author

Ultraprecise Controller for Piezoelectric Actuators Based on Deep Learning and Model Predictive Control.

Sensors (Basel, Switzerland)·2023
Same author

Methodology for Detecting Progressive Damage in Structures Using Ultrasound-Guided Waves.

Sensors (Basel, Switzerland)·2022
Same author

Ultrasonic Guided Wave Testing on Cross-Ply Composite Laminate: An Empirical Study.

Sensors (Basel, Switzerland)·2020

Related Experiment Video

Updated: Oct 13, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.8K

Reliable Control Applications with Wireless Communication Technologies: Application to Robotic Systems.

Isidro Calvo1, Eneko Villar1, Cristian Napole1

  • 1System Engineering and Automation Deparment, Faculty of Engineering of Vitoria-Gasteiz, Basque Country University (UPV/EHU), 01006 Vitoria-Gasteiz, Spain.

Sensors (Basel, Switzerland)
|November 13, 2021
PubMed
Summary
This summary is machine-generated.

This study enhances wireless control reliability by using a two-level controller system. A central controller manages normal operations, while a local backup controller ensures continuous control during wireless communication degradation or loss.

Keywords:
LabVIEWXBeefuzzy controlgain scheduling fuzzy PID controllerindustrial internet of things (IIoT)industry 4.0reliable control systemsroboticswireless control systems

More Related Videos

Implantation and Control of Wireless, Battery-free Systems for Peripheral Nerve Interfacing
07:13

Implantation and Control of Wireless, Battery-free Systems for Peripheral Nerve Interfacing

Published on: October 20, 2021

3.4K
Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories
04:15

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories

Published on: February 23, 2024

1.2K

Related Experiment Videos

Last Updated: Oct 13, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.8K
Implantation and Control of Wireless, Battery-free Systems for Peripheral Nerve Interfacing
07:13

Implantation and Control of Wireless, Battery-free Systems for Peripheral Nerve Interfacing

Published on: October 20, 2021

3.4K
Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories
04:15

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories

Published on: February 23, 2024

1.2K

Area of Science:

  • Robotics and Control Systems
  • Wireless Communication Networks
  • Industrial Automation

Background:

  • Wireless propagation can degrade Quality of Service (QoS), impacting control application performance.
  • Designing robust wireless control systems requires a holistic approach to prevent performance degradation.
  • Temporary loss or delays in wireless links pose a significant challenge for critical control applications.

Purpose of the Study:

  • To improve the reliability of wireless control applications facing communication degradation or temporary link loss.
  • To present a reliable strategy for seamless switching between central and local controllers.
  • To ensure that industrial plants remain under control even during wireless communication failures.

Main Methods:

  • Implementation of a two-level controller architecture: a central sophisticated controller and local backup controllers.
  • Development of a reliable switching strategy between central and local controllers to maintain plant stability.
  • Validation using a planar robot controlled by a Fuzzy Logic algorithm on a high-performance platform and an edge device backup.

Main Results:

  • The proposed strategy effectively prevents the controlled plant (planar robot) from becoming uncontrolled during communication failures.
  • The system successfully utilizes wireless communication for critical control tasks, demonstrating resilience to link degradation.
  • The dual-band communication approach (900 MHz for control, 2.4 GHz for cloud integration) proved effective.

Conclusions:

  • The presented two-level controller strategy significantly enhances the reliability of wireless control applications.
  • The approach is adaptable and can be extended to various industrial processes beyond the planar robot.
  • Wireless communication is viable for critical control applications with appropriate reliability measures.