%0 Journal Article
%T An Improved Robust Model Predictive Control Approach to Systems with Linear Fractional Transformation Perturbations<br>
%A Peng-Yuan Zheng
%A Yu-Geng Xi
%A De-Wei Li
%A <br>
%J 国际自动化与计算杂志
%D 2011
%I 
%X In this paper, a robust model predictive control approach is proposed for a class of uncertain systems with time-varying, linear fractional transformation perturbations. By adopting a sequence of feedback control laws instead of a single one, the control performance can be improved and the region of attraction can be enlarged compared with the existing model predictive control (MPC) approaches. Moreover, a synthesis approach of MPC is developed to achieve high performance with lower on-line computational burden. The effectiveness of the proposed approach is verified by simulation examples.
%K Robust model predictive control
%K linear fractional transformation (LFT) perturbations
%K linear matrix inequalities (LMIs)
%K feedback model predictive control (MPC) framework
%K sequence of feedback control laws<br>
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7139AD613512F4F05F6D525B914296AA&aid=CFB229B02D1FAC66CE24ACB3B828F597&yid=9377ED8094509821&vid=5D311CA918CA9A03&iid=CA4FD0336C81A37A&sid=03A030BB0C519C60&eid=B0EBA60720995721&journal_id=1476-8186&journal_name=国际自动化与计算杂志&referenced_num=0&reference_num=19