Fault Detection for a Class of Nonlinear Networked Control Systems with Communication Constraints

This paper is concerned with fault detection for a class of nonlinear networked control systems with stochastic transfer delays and data drops. A modified T-S fuzzy model is used to represent the considered system. The infinitely distributed time delays are introduced to describe the delays in the c...

Full description

Saved in:
Bibliographic Details
Published in:International journal of control, automation, and systems 2018, Automation, and Systems, 16(1), , pp.256-264
Main Authors: Mao, Zehui, Pan, Yifei, Jiang, Bin, Chen, Wen
Format: Article
Language:English
Subjects:
Aeronautics
Automation
Communication
Control
Control systems
Data transfer (computers)
Design
Engineering
Fault detection
Fuzzy sets
Fuzzy systems
Independent variables
Liapunov functions
Mechatronics
Nonlinear control
Nonlinear systems
Regular Papers
Robotics
제어계측공학
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper is concerned with fault detection for a class of nonlinear networked control systems with stochastic transfer delays and data drops. A modified T-S fuzzy model is used to represent the considered system. The infinitely distributed time delays are introduced to describe the delays in the controllers. In the fault detection filter, a sequence of stochastic variables is introduced to govern the random occurrence of the stochastic transfer delays and data drops in the measurements, and all of the stochastic variables are mutually independent. Sufficient conditions using regular and piecewise Lyapunov functions are derived for the existence of the designed filter. An example is employed to show the effectiveness and applicability of the proposed fault-detection method.
ISSN:1598-6446
2005-4092
DOI:10.1007/s12555-017-0258-0