@article{(Open Science Index):https://publications.waset.org/pdf/10001865, title = {Computational Simulations on Stability of Model Predictive Control for Linear Discrete-time Stochastic Systems}, author = {Tomoaki Hashimoto}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Computer and Information Engineering}, volume = {9}, number = {8}, year = {2015}, pages = {1848 - 1853}, ee = {https://publications.waset.org/pdf/10001865}, url = {https://publications.waset.org/vol/104}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 104, 2015}, }