Related Experiment Video
Updated: Sep 3, 2025
08:32
Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut
Published on: June 15, 2020
12.7K
Fuzzy event-triggered tracking control for nonlinear unreliable networked systems.
Zifang Qu1, Zhenbin Du2, Yonggui Kao3
1School of Mathematics and Information Science, Shandong Technology and Business University, Yantai, Shandong 264005, China.
ISA Transactions
|July 23, 2022
Summary
This study introduces a fuzzy event-triggered tracking controller for unreliable networked systems. The new method ensures system stability and effective tracking control performance.
Area of Science:
- Control Engineering
- Fuzzy Systems
- Networked Systems
Background:
- Unreliable networked systems pose challenges for precise control.
- Event-triggered control strategies aim to reduce communication load.
Purpose of the Study:
- To develop a fuzzy event-triggered tracking control method.
- To ensure stability and performance in unreliable networked systems.
Main Methods:
- Designing a fuzzy event-based tracking controller.
- Utilizing the looped Lyapunov-Krasovskii functional for stability analysis.
- Determining sufficient conditions for controller design.
Main Results:
- The proposed controller achieves effective tracking control performance.
- Stability analysis confirms the system's robustness.
- Sufficient conditions for the controller were successfully determined.
Conclusions:
- The fuzzy event-triggered tracking control design is feasible.
- The method provides a viable solution for controlling unreliable networked systems.
Related Concept Videos
01:26Feedback control systems
407
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...
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...
407
01:10Control Systems
1.3K
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...
At the heart...
1.3K
01:23Linear time-invariant Systems
384
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...
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...
384
01:17Open and closed-loop control systems
960
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...
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...
960
01:10Propagation of Uncertainty from Systematic Error
851
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...
851
00:59Propagation of Uncertainty from Random Error
1.1K
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...
1.1K