Stochastic System Analysis and Control

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".

Deadline for manuscript submissions: 28 February 2025 | Viewed by 87

Special Issue Editors


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Guest Editor
School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266555, China
Interests: stochastic systems; control

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Guest Editor
School of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, China
Interests: stochastic differential equations; stochastic control; financial engineering; financial statistics

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Guest Editor
Department of Chemical Equipment and Control Engineering, China University of Petroleum (East China), Qingdao 266580, China
Interests: stochastic reinforcement learning theory; stochastic models in industrial processes

Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute to a Special Issue on "Stochastic System Analysis and Control". This Special Issue aims to highlight the latest advancements and research in the field of stochastic systems, focusing on both theoretical and practical aspects of analysis and control.

Stochastic systems are ubiquitous in various fields, including that of engineering, economics, biology, and more. The analysis and control of these systems are crucial for improving performance, reliability, and efficiency in complex and uncertain environments. This Special Issue will gather high-quality research papers that address significant challenges and propose innovative solutions in the analysis and control of stochastic systems.

The goal of this Special Issue is to provide a platform for researchers to share their latest findings and insights on stochastic systems. We seek to publish papers that contribute to the theoretical understanding, practical methodologies, and applications of stochastic systems analysis and control.

This Special Issue aligns with the scope of our journal, aiming to bridge the gap between theoretical research and practical implementations. In this Special Issue, we welcome original research articles and comprehensive review papers. Potential topics include, but are not limited to, the following:

  • Stochastic modeling and simulation;
  • Stochastic processes and noise analysis;
  • Control strategies for stochastic systems;
  • Applications in engineering and technology;
  • Optimization techniques in stochastic environments;
  • Statistical methods for system analysis;
  • Stochastic reinforcement learning theory;
  • Analysis of stochastic partial differential equations;
  • Case studies and practical implementations.

Dr. Tianliang Zhang
Prof. Dr. Xiangyun Lin
Dr. Xiushan Jiang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • stochastic modeling
  • noise analysis
  • stochastic processes
  • control strategies
  • optimization
  • system analysis
  • engineering applications
  • statistical methods
  • stochastic reinforcement learning
  • stochastic partial differential equations
  • practical implementations

Published Papers

This special issue is now open for submission.
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