Open Science Research Excellence
@article{(International Science Index):,
  title    = {Computational Simulations on Stability of Model Predictive Control for Linear Discrete-time Stochastic Systems},
  author    = {Tomoaki Hashimoto},
  country   = {Japan},
  institution={Osaka Institute of Technology},
  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, Electrical, Automation, Control and Information Engineering},  volume    = {9},
  number    = {8},
  year      = {2015},
  pages     = {1855 - 1860},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 104, 2015},