A5092612960- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Advanced Control Systems Optimization
- Radiomics and Machine Learning in Medical Imaging
- Reservoir Engineering and Simulation Methods
- Atmospheric aerosols and clouds
- Solar Radiation and Photovoltaics
- Clinical Nutrition and Gastroenterology
- Fault Detection and Control Systems
- Healthcare Systems and Challenges
Chiba University
2023-2024
Abstract. Model predictive control (MPC) is an optimization-based framework for linear and nonlinear systems. MPC estimates inputs by iterative optimization of a cost function that minimizes deviations from desired state while accounting costs over finite prediction horizon. This process typically involves direct computations in space through full model evaluations, making it computationally expensive high-dimensional study introduces ensemble (EnMPC), novel combines data assimilation. EnMPC...
Abstract. Practical applications of weather control are being explored under Japan's Moonshot Research and Development Program to mitigate extreme events such as heavy rainfall. One the most significant challenges in this endeavor is identifying effective efficient inputs within limited energy computational time. To address difficulty, development mathematical approaches promoted. However, further improvements conventional required for practical control. In study, we propose a novel...
Abstract. In recent years, concerns have been raised regarding the intensification and increase of extreme weather events such as torrential rainfall typhoons. To mitigate damage caused by weather-induced disasters, studies started developing control technologies to lead a desirable direction with feasible manipulations. This study proposes introducing model predictive (MPC), an advanced method explored in engineering, into framework simulation experiment (CSE). contrast previous CSE...
Abstract. Data assimilation is a crucial component in the Earth science field, enabling integration of observation data with numerical models. In context weather prediction (NWP), particularly vital for improving initial conditions and subsequent predictions. However, computational demands imposed by conventional approaches, which employ iterative processes to minimize cost functions, pose notable challenges time. The emergence quantum computing provides promising opportunities address these...
Abstract. Recently, concerns have been growing about the intensification and increase in extreme weather events, including torrential rainfall typhoons. For mitigating damage caused by weather-induced disasters, recent studies started developing control technologies to lead a desirable direction with feasible manipulations. This study proposes introducing model predictive (MPC), an advanced method explored engineering, into framework of simulation experiment (CSE). In contrast previous CSE...
Abstract. Data assimilation is a crucial component in the Earth science field, enabling integration of observation data with numerical models. In context weather prediction (NWP), particularly vital for improving initial conditions and subsequent predictions. However, computational demands imposed by conventional approaches, which employ iterative processes to minimize cost functions, pose notable challenges time. The emergence quantum computing provides promising opportunities address these...