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

机译：基于随机和随机观察的随机脉冲控制，HJB和FOKKER-PLANCK方程基于随机脉冲控制

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Hidekazu Yoshioka; Motoh Tsujimura; Kunihiko Hamagami; Yuta Yaegashi; Yumi Yoshioka;
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年度 2021
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1. HJB and Fokker-Planck equations for river environmental management based on stochastic impulse control with discrete and random observation [J] . Yoshioka Hidekazu, Tsujimura Motoh, Hamagami Kunihiko, Computers & mathematics with applications . 2021,第Auga15期

机译：基于随机脉冲控制的离散和随机观察，HJB和Fokker-Planck方程
2. pth moment exponential stabilisation of hybrid stochastic differential equations by feedback controls based on discrete-time state observations with a time delay [J] . Quanxin Zhu, Qiuyan Zhang Control Theory & Applications, IET . 2017,第12期

机译：时滞离散时间状态观测的反馈控制混合随机微分方程的pth矩指数镇定
3. Stabilization of stochastic differential equations driven by G -Brownian motion with feedback control based on discrete-time state observation [J] . Yong Ren, Wensheng Yin, Rathinasamy Sakthivel Automatica . 2018,第期

机译：由 G -BROWNIAN运动，具有基于离散时间状态观察的反馈控制
4. Hamiltonian systems, HJB equations, and stochastic controls [C] . Xun Yu Zhou . 1997

机译：哈密顿系统，HJB方程和随机控制
5. Numerical solution of Fokker-Planck equations using stochastic differential equations [D] . Richardson, James Scott 2005

机译：利用随机微分方程数值求解Fokker-Planck方程
6. Incorporating prior knowledge induced from stochastic differential equations in the classification of stochastic observations [O] . Amin Zollanvari, Edward R. Dougherty 2016

机译：将随机微分方程式衍生的先验知识纳入随机观测的分类中
7. Stabilisation of stochastic differential equations with Markovian switching by feedback control based on discrete-time state observation with a time delay [O] . Qiu Qinwei, Liu Wei, Hu Liangjian, 2016

机译：基于时滞离散时间状态观测的反馈控制的带马尔可夫切换的随机微分方程镇定

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

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