Related Experiment Video
Updated: Jul 11, 2025
08:35
Interactive and Visualized Online Experimentation System for Engineering Education and Research
Published on: November 24, 2021
2.5K
Event-triggered H∞ control for discrete-time switched systems with saturation nonlinearities
Qian Wang1, Yuetao Yang1, Fujie Tian1
1School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
ISA Transactions
|November 17, 2023
Summary
This study introduces event-triggered H∞ control for discrete-time switched systems with saturation. The method ensures system stability while conserving communication and computation resources.
Area of Science:
- Control Theory
- Systems Engineering
- Applied Mathematics
Background:
- Switched systems are prevalent in control applications but face challenges with input/state saturation.
- Event-triggered control strategies are crucial for efficient resource management in modern systems.
Purpose of the Study:
- To develop an event-triggered H∞ control strategy for discrete-time switched systems with input and state saturation.
- To guarantee exponential stability using the average dwell time (ADT) method.
- To conserve communication and computational resources.
Main Methods:
- Design of state feedback and dynamic output feedback controllers using the convex hull method.
- Introduction of a dynamic event-triggered mechanism.
- Application of the average dwell time (ADT) method for stability analysis.
Main Results:
- Elimination of the adverse effects of input and state saturation on system performance.
- Significant savings in communication and computation resources through the dynamic event-triggered mechanism.
- Guaranteed H∞ exponential stability of the closed-loop system.
Conclusions:
- The proposed event-triggered H∞ control method effectively addresses saturation issues in discrete-time switched systems.
- The dynamic event-triggered mechanism enhances resource efficiency.
- The ADT-based approach ensures robust stability and performance.
More Related Videos
09:01Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
Published on: April 4, 2017
8.7K
10:51An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
Published on: March 10, 2011
13.8K
Related Concept Videos
01:26Feedback control systems
317
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...
317
01:27Time and frequency -Domain Interpretation of PI Control
132
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
132
01:24Transient and Steady-state Response
186
In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
186
01:21Control System Problem
119
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...
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
119
01:18Second Order systems II
114
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
114
01:23Linear time-invariant Systems
262
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...
262