activity
20152026
most citedHamilton-Jacobi-Bellman-Isaacs equation for rational inattention in the long-run management of river environments under uncertainty

18 citations · 82 across the 23 of their papers we have counts for

collaborators

23 papers

q-bio.QM2026

Stochastic partial differential equation model for environmental DNA dynamics in river environments

Hidekazu Yoshioka

Environmental DNA (eDNA) has emerged as a novel tool for quantifying the seasonal abundance of aquatic species in water bodies; however, its mathematical modeling is still at a ger…

math.NA2023★ 1 cited

Non-singularity of the generalized logit dynamic with an application to fishing tourism

Hidekazu Yoshioka

Generalized logit dynamic defines a time-dependent integro-differential equation with which a Nash equilibrium of an iterative game in a bounded and continuous action space is expe…

eess.SY2023

The Robust Orlicz Risk with an Application to the Green Photovoltaic Power Generation

H. Yoshioka, M. Tsujimura

We propose a novel recursive utility for controlling stochastic processes under risk and uncertainty. Our formulation uses a robustified Orlicz risk that can evaluate risk and unce…

math.OC2023★ 4 cited

Environmental management and restoration under unified risk and uncertainty using robustified dynamic Orlicz risk

Hidekazu Yoshioka, Motoh Tsujimura, Futoshi Aranishi +1

Environmental management and restoration should be designed such that the risk and uncertainty owing to nonlinear stochastic systems can be successfully addressed. We apply the rob…

math.OC2023★ 4 cited

Optimal harvesting policy for biological resources with uncertain heterogeneity for application in fisheries management

Hidekazu Yoshioka

Conventional harvesting problems for natural resources often assume physiological homogeneity of the body length/weight among individuals. However, such assumptions generally are n…

math.OC2023★ 5 cited

A Jump Ornstein-Uhlenbeck Bridge Based on Energy-optimal Control and Its Self-exciting Extension

Hidekazu Yoshioka, Kazutoshi Yamazaki

We study a version of the Ornstein-Uhlenbeck bridge driven by a spectrally-positive subordinator. Our formulation is based on a Linear-Quadratic control subject to a singular termi…

stat.ME2023★ 2 cited

Statistical evaluation of a long-memory process using the generalized entropic Value-at-Risk

Hidekazu Yoshioka, Yumi Yoshioka

The modeling and identification of time series data with a long memory are important in various fields. The streamflow discharge is one such example that can be reasonably describe…

math.OC2022★ 15 cited

Stochastic optimization of a mixed moving average process for controlling non-Markovian streamflow environments

Hidekazu Yoshioka, Tomohiro Tanaka, Yumi Yoshioka +1

We investigated a cost-constrained static ergodic control problem of the variance of measure-valued affine processes and its application in streamflow management. The controlled sy…

stat.ME2022

A supCBI process with application to streamflow discharge and a model reduction

Hidekazu Yoshioka

We propose a new stochastic model for streamflow discharge timeseries as a jump-driven process, called a superposition of continuous-state branching processes with immigration (a s…

math.OC2022★ 5 cited

Modeling and computation of an integral operator Riccati equation for an infinite-dimensional stochastic differential equation governing streamflow discharge

Hidekazu Yoshioka, Motoh Tsujimura, Tomohiro Tanaka +2

We propose a linear-quadratic (LQ) control problem of streamflow discharge by optimizing an infinite-dimensional jump-driven stochastic differential equation (SDE). Our SDE is a su…

math.OC2021★ 18 cited

Hamilton-Jacobi-Bellman-Isaacs equation for rational inattention in the long-run management of river environments under uncertainty

Hidekazu Yoshioka, Motoh Tsujimura

A new stochastic control model for the long-run environmental management of rivers is mathematically and numerically analyzed, focusing on a modern sediment replenishment problem w…

eess.SY2021

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…

math.OC2021

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…

math.OC2020★ 8 cited

Analytical and numerical solutions to ergodic control problems arising in environmental management

Hidekazu Yoshioka, Motoh Tsujimura, Yuta Yaegashi

Environmental management optimizing a long-run objective is an ergodic control problem whose resolution can be achieved by solving an associated non-local Hamilton-Jacobi-Bellman (…

math.OC2020★ 1 cited

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…

math.OC2020★ 11 cited

HJB and Fokker-Planck equations for river environmental management based on stochastic impulse control with discrete and random observation

H. Yoshioka, M. Tsujimura, K. Hamagami +2

We formulate a new two-variable river environmental restoration problem based on jump stochastic differential equations (SDEs) governing the sediment storage and nuisance benthic a…

math.OC2020

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…

math.OC2020

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…

math.OC2020

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…

eess.SY2020★ 5 cited

River environmental restoration based on random observations of a non-smooth stochastic dynamical system

Hidekazu Yoshioka

Earth and soils are indispensable elements of river environment. Dam-downstream environment and ecosystems have been severely affected by reduced or even stopped sediment supply fr…

math.OC2020★ 2 cited

A random observation-based management model of population dynamics and its ecological application

Hidekazu Yoshioka, Yuta Yaegashi, Motoh Tsujimura

A new stochastic control problem of population dynamics under partial observation is formulated and analyzed both mathematically and numerically, with an emphasis on environmental…

eess.SY2020★ 1 cited

Regime-switching constrained viscosity solutions approach for controlling dam-reservoir systems

H. Yoshioka, Y. Yoshioka

A new stochastic control problem of a dam-reservoir system installed in a river is analyzed both mathematically and numerically. Water balance dynamics of the reservoir are piece-w…

math.NA2015

On Dual-Finite Volume Methods for Extended Porous Medium Equations

Hidekazu Yoshioka

This article shows that the unconditional stability of the Dual-Finite Volume Method, which is at least valid for linear problems, is not true for generic nonlinear differential eq…