The full text of this article
Observer-based robust model predictive control of singular systems
by Xiao-hua Liu, Yuan-hua Yang
International Journal of Modelling, Identification and Control (IJMIC), Vol. 9, No. 1/2, 2010
Abstract: The robust model predictive control problem is studied for the singular systems with norm-bounded uncertainties when the states of controlled systems are immeasurable. By constructing the Lyapunov function with the error terms, the observer-based feedback control law is calculated by minimising the worst-case linear quadratic objective function. At each sampling time, the sufficient conditions for the existence of robust model predictive control are derived and expressed as linear matrix inequalities. It is proved that the robust stability of the closed-loop singular systems is guaranteed when the obtained feedback controller satisfies some conditions, and the regular and the impulse-free of the singular systems are also guaranteed. A simulation example is give to illustrate the efficiency of this method.
Online publication date: Thu, 01-Apr-2010
is only available to individual subscribers or to users at subscribing institutions.
Go to Inderscience Online Journals to access the Full Text of this article.
Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.
Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Modelling, Identification and Control (IJMIC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable).
See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org