We use a few cookies

Essential cookies keep the library working. With your permission, we'd also like to use analytics to see what's useful and improve the experience. Read our Privacy Policy or Cookie Policy.

Skip to main content
Home/e-Resources/Data Science & Analytics/Terminal Invariance of Stochastic Diffusion Systems
PeriodicalsData Science & Analytics

Terminal Invariance of Stochastic Diffusion Systems

Michael M. Khrustalev
Автоматика и телемеханика2018

Checking your access to this record.

Abstract & Overview

For a controlled stochastic diffusion system, we obtain sufficient conditions for the terminal criterion to be constant with probability one on the assumption of fixed initial state (invariance in perturbations) and sufficient conditions for the terminal criterion to be independent with probability one both from the realization of the random process and the initial conditions (absolute invariance).

Cite this record

Michael M. Khrustalev (2018). Terminal Invariance of Stochastic Diffusion Systems. Автоматика и телемеханика, (8), 81–100. https://doi.org/10.31857/s000523100001249-7

Copy in another style

Khrustalev, M. M. (2018). Terminal Invariance of Stochastic Diffusion Systems. Автоматика и телемеханика, 81–100. https://doi.org/10.31857/s000523100001249-7
Author names are used as deposited, so check their order before you submit.

Metadata is harvested from open-access indexes and can be incomplete. Check a citation against the published version before relying on it — see our open access & attribution policy.

Related Literature

Pesticide residue elimination for fruits and vegetables: the mechanisms, applications, and future trends of thermal and non-thermal technologies

An‐An Zhang, Qiang Bian

In Journal of Future Foods

The influence of political connection on corporate social responsibility——evidence from Listed private companies in China

Haifeng Huang, Zhenrui Zhao

In International Journal of Corporate Social Responsibility

Data Min-ing in Film Review with Sentiment Analysis

Т. М. Сабирова

In Hans Journal of Data Mining

Sentiment Analysis for Product Reviews Using a Transformer-Based Approach

Balgis Putri Prioni, Mega Mirasaputri Cahyanti

In Journal of Artificial Intelligence and Data Science