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Related Experiment Video

Updated: Jun 20, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

Modeling and stabilization of continuous-time packet-based networked control systems.

Yun-Bo Zhao¹, Guo-Ping Liu, David Rees

¹Faculty of Advanced Technology, University of Glamorgan, Pontypridd, U.K. yunbozhao@gmail.com

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society

|September 1, 2009

Summary

This summary is machine-generated.

This study introduces a novel packet-based control approach for networked control systems (NCSs) in continuous-time, effectively managing network delays, packet loss, and disorder for improved system performance.

Related Experiment Videos

Last Updated: Jun 20, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

Area of Science:

Control Engineering
Networked Systems
Systems Theory

Background:

Networked Control Systems (NCSs) face challenges from network-induced delays, data packet dropout, and disorder.
Existing control approaches often struggle to simultaneously address these network-induced uncertainties.
A need exists for robust control models adaptable to varying network conditions.

Purpose of the Study:

To extend the packet-based control approach to continuous-time NCSs.
To develop a novel NCS model that accounts for continuous network-induced delay.
To enable controller design flexibility based on specific network conditions.

Main Methods:

A discretization technique is employed to handle continuous network-induced delay.
Switched system theory is applied to derive stability criteria.
Linear Matrix Inequality (LMI) optimization is used for controller design.

Main Results:

A novel model for NCSs is derived, capable of handling delay, dropout, and disorder.
The model allows for controller designs tailored to specific network conditions, enhancing performance.
An LMI-based method for designing stabilized controllers is presented.

Conclusions:

The proposed packet-based control approach effectively addresses multiple network-induced issues in continuous-time NCSs.
The developed model and controller design method offer improved system performance and design flexibility.
Numerical examples validate the effectiveness of the proposed approach.