Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Masako Kishida"'
Autor:
Masako Kishida
Publikováno v:
IET Control Theory & Applications, Vol 17, Iss 9, Pp 1167-1183 (2023)
Abstract This paper presents a self‐triggered control approach with the view of risks for discrete‐time linear stochastic systems. More specifically, under the assumption that the first two moments of the disturbance distribution are known, the p
Externí odkaz:
https://doaj.org/article/ff6563075c5d499e8a91d0687a5f49da
Autor:
Masako Kishida, Masaki Ogura
Publikováno v:
IET Control Theory & Applications, Vol 16, Iss 2, Pp 139-150 (2022)
Abstract This paper proposes a computational technique to solve discrete‐time optimal control problems for nonlinear systems subject to stochastic disturbances, hard input constraints, and soft constraints. The approach employs the idea of deep unf
Externí odkaz:
https://doaj.org/article/87d450f390ac47bcaebb9c1f105f72f6
Publikováno v:
IEEE Access, Vol 8, Pp 142404-142412 (2020)
In this study, we analyzed the problem of accelerating the linear average consensus algorithm for complex networks. We propose a data-driven approach to tuning the weights of temporal (i.e., time-varying) networks using deep learning techniques. Give
Externí odkaz:
https://doaj.org/article/ca2e4f47be01491bbf83e04114c1187f
Autor:
Masako Kishida, Masaaki Nagahara
Publikováno v:
IEEE Transactions on Automatic Control. :1-8
Autor:
Masako Kishida, Ahmet Cetinkaya
Publikováno v:
IEEE Transactions on Automatic Control. 68:416-423
Autor:
Masako Kishida, Masaki Ogura
Publikováno v:
IFAC-PapersOnLine. 55:908-913
Autor:
Ahmet Cetinkaya, Masako Kishida
Publikováno v:
IEEE Control Systems Letters. 6:1430-1435
In this paper, we investigate constrained control of continuous-time linear stochastic systems. We show that for certain system parameter settings, constrained control policies can never achieve stabilization. Specifically, we explore a class of cont
Autor:
Masako Kishida
Publikováno v:
Journal of the Robotics Society of Japan. 40:199-202
Autor:
Masako Kishida, Ahmet Cetinkaya
Publikováno v:
IEEE Transactions on Automatic Control. 66:5974-5981
Strictly unstable linear systems under additive and nonvanishing stochastic noise with unbounded supports are known to be impossible to stabilize by using deterministically constrained control inputs. In this paper, similar impossibility results are
Autor:
Masako Kishida, Masaki Ogura
Publikováno v:
IET Control Theory & Applications, Vol 16, Iss 2, Pp 139-150 (2022)
This paper proposes a computational technique to solve discrete‐time optimal control problems for nonlinear systems subject to stochastic disturbances, hard input constraints, and soft constraints. The approach employs the idea of deep unfolding, w