5 citations · 8 across the 6 of their papers we have counts for
9 papers
Towards Control of Dam and Reservoir Systems with Forward-Backward Stochastic Differential Equations Driven by Clustered Jumps
Hidekazu Yoshioka
We deal with a new maximum principle-based stochastic control model for river management through operating a dam and reservoir system. The model is based on coupled forward-backwar…
Impulsive fishery resource transporting strategies based on an open-ended stochastic growth model having a latent variable
Hidekazu Yoshioka, Tomomi Tanaka, Futoshi Aranishi +2
In inland fisheries, transporting fishery resource individuals from a habitat to spatially apart habitat(s) has recently been considered for fisheries stock management in the natur…
A simple model on streamflow management with a dynamic risk measure
Hidekazu Yoshioka, Yumi Yoshioka
We present an exactly-solvable risk-minimizing stochastic differential game for flood management in rivers. The streamflow dynamics follow stochastic differential equations driven…
A generalized stochastic control problem of bounded noise process under ambiguity arising in biological management
H. Yoshioka, M. Tsujimura
The objectives and contributions of this paper are mathematical and numerical analyses of a stochastic control problem of bounded population dynamics under ambiguity, an important…
Mathematical and computational approaches for stochastic control of river environment and ecology: from fisheries viewpoint
Hidekazu Yoshioka
We present a modern stochastic control framework for dynamic optimization of river environment and ecology. We focus on a fisheries problem in Japan, and show several examples of s…
Stochastic impulse control of non-smooth dynamics with partial observation and execution delay: application to an environmental restoration problem
Hidekazu Yoshioka, Yuta Yaegashi
Non-smooth dynamics driven by stochastic disturbance arise in a wide variety of engineering problems. Impulsive interventions are often employed to control stochastic systems; howe…