Open Science Research Excellence
%0 Journal Article
%A Tomoaki Hashimoto
%D 2015 
%J  International Journal of Computer, Electrical, Automation, Control and Information Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 104, 2015
%T Computational Simulations on Stability of Model Predictive Control for Linear Discrete-time Stochastic Systems
%U http://waset.org/publications/10001865
%V 104
%X Model predictive control is a kind of optimal feedback
control in which control performance over a finite future is optimized
with a performance index that has a moving initial time and a moving
terminal time. This paper examines the stability of model predictive
control for linear discrete-time systems with additive stochastic
disturbances. A sufficient condition for the stability of the closed-loop
system with model predictive control is derived by means of a linear
matrix inequality. The objective of this paper is to show the results
of computational simulations in order to verify the effectiveness of
the obtained stability condition.
%P 1855 - 1860