Cart (Loading....) | Create Account
Close category search window

Reliable linear-quadratic optimal control for continuous-time linear singular systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Guang-Ping Zhong ; Sch. of Math. Sci. & Tech., Daqingshiyou Coll., Daqing, China ; Xian Zhang

This paper is concerned with the problem of designing reliable linear-quadratic state-feedback control for continuous-time linear time-invariant singular systems. A procedure for designing reliable state-feedback control is presented in the case of possible actuator faults in pre-specified set of actuators. The proposed state-feedback controller is able to guarantee the stability (admissibility) and linear-quadratic performances bound of closed-loop systems. In addition, in the worst fault case, the performance of closed-loop systems is optimized by the proposed controller. Simulation results on a test example show that the proposed approach is valid.

Published in:

Control and Decision Conference, 2009. CCDC '09. Chinese

Date of Conference:

17-19 June 2009

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.