Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9493
Title: Robust reliable control for systems with random actuator fault and probabilistic nonlinearity with new characters
Authors: Wong, WK 
Tian, E
Yue, D
Au, RWM
Keywords: Exponentially mean square stable
Probabilistic nonlinearity
Random actuators fault
Robust reliable control
Issue Date: 2012
Publisher: Wiley-Blackwell
Journal: International Journal of Robust and Nonlinear Control 
Abstract: In this study, the reliable control for time-varying systems with random actuator faults and probabilistic nonlinearities is investigated. The system under consideration has the following main features: (1) nonlinearities with new characters. The probability information of nonlinearities belonging to different varying bounds is used; (2) its multi-actuators are subject to various possible faults/failures, and failure rates can vary in some measure; and (3) there are uncertainties in the plant model parameters. Covering these features, a comprehensive model is developed for uncertain time-varying delay systems. By employing the Lyapunov functional method, free-weighting matrix method, and the linear matrix inequality technique, we can obtain several delay-distribution-dependent sufficient conditions to ensure the exponentially mean square stability of the system. Those conditions are characterized in terms of linear matrix inequalities, and the reliable controller feedback gain can be solved by the standard numerical software. A simulation example is presented to show the effectiveness and applicability of the results.
URI: http://hdl.handle.net/10397/9493
ISSN: 1049-8923
DOI: 10.1002/rnc.2861
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

5
Last Week
0
Last month
0
Citations as of Aug 13, 2017

WEB OF SCIENCETM
Citations

5
Last Week
1
Last month
0
Citations as of Aug 12, 2017

Page view(s)

36
Last Week
3
Last month
Checked on Aug 13, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.