@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},
	}