no code implementations • 9 Jul 2022 • Ryo Miyashita, Yoshihiko Susuki, Atsushi Ishigame
Control of warm-water supply for dialysis treatment in a hospital environment is typical of safety-critical control problems.
no code implementations • 7 Jul 2022 • Yoshihiko Susuki, Kohei Eto, Naoto Hiramatsu, Atsushi Ishigame
This paper addresses a control problem on air-conditioning systems in buildings that is regarded as a control practice of nonlinear distributed-parameter systems.
no code implementations • 23 May 2022 • Kenji Takamichi, Yoshihiko Susuki, Marcos Netto, Atsushi Ishigame
This paper proposes a mode-in-state contribution factor for a class of nonlinear dynamical systems by utilizing spectral properties of the Koopman operator and sensitivity analysis.
no code implementations • 26 Jan 2021 • Shota Yumiki, Yoshihiko Susuki, Yuta Oshikubo, Yutaka Ota, Ryo Masegi, Akihiko Kawashima, Atsushi Ishigame, Shinkichi Inagaki, Tatsuya Suzuki
We develop a system-level design for the provision of Ancillary Service (AS) for control of electric power grids by in-vehicle batteries, suitably applied to Electric Vehicles (EVs) operated in a sharing service.
no code implementations • 27 Aug 2020 • Naoto Hiramatsu, Yoshihiko Susuki, Atsushi Ishigame
By estimating the temperature gradient directly from data, we show that KMD is capable of extracting a distinct structure of the heat flux embedded in the oscillatory temperature field, relevant in terms of air conditioning.
no code implementations • 4 Nov 2019 • Akitoshi Masuda, Yoshihiko Susuki, Manel Martínez-Ramón, Andrea Mammoli, Atsushi Ishigame
Koopman Mode Decomposition (KMD) is a technique of nonlinear time-series analysis that originates from point spectrum of the Koopman operator defined for an underlying nonlinear dynamical system.