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Feedback control systems

Feedback control systems

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...

Control Systems

Control Systems

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...

Time-Domain Interpretation of PD Control

Time-Domain Interpretation of PD Control

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...

Effects of feedback

Effects of feedback

Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...

Open and closed-loop control systems

Open and closed-loop control systems

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 and...

PD Controller: Design

PD Controller: Design

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,...

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Related Experiment Video

Updated: May 23, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

Dissipativity-Based Output Feedback Control of Networked Sampled-Data Systems Under Actuator Failures and Consecutive

Min Xue, James Lam, Huaicheng Yan

IEEE Transactions on Cybernetics

|May 21, 2026

Summary

This study presents a new control method for networked systems facing actuator failures and denial-of-service (DoS) attacks, ensuring system stability and dissipativity.

Related Experiment Videos

Last Updated: May 23, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

Area of Science:

Control Systems Engineering
Networked Systems Security
Stochastic Systems

Background:

Networked systems are susceptible to actuator failures and denial-of-service (DoS) attacks.
Stochastic sampling and DoS attacks introduce uncertainties in communication channels.
Ensuring system stability and performance under these conditions is challenging.

Purpose of the Study:

To develop a dissipativity-based output feedback control strategy for networked sampled-data systems.
To address the impact of actuator failures and consecutive DoS attacks.
To guarantee stochastic stability and strict dissipativity of the closed-loop system.

Main Methods:

Modeling the interval between controller updates considering probabilistic sampling and DoS attacks.
Designing a sampled-data output feedback controller.
Constructing an equivalent discrete-time closed-loop system.
Proposing two control synthesis conditions for stability and dissipativity.

Main Results:

A mathematical model characterizing random update intervals was developed.
The proposed controller ensures stochastic stability and strict dissipativity.
Simulation results validate the effectiveness of the control method.

Conclusions:

The developed control strategy effectively handles actuator failures and DoS attacks in networked systems.
The method guarantees system stability and dissipativity under probabilistic uncertainties.
The proposed approach offers a robust solution for secure and reliable networked control systems.