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Volume 11
Issue 24
10.3390/electronics11244133
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Editorial

Editorial: Advances in Stochastic System Modeling, Control, Optimization, and Their Applications

by
Qichun Zhang
1,* and
Zhan Shu
2
1
Department of Computer Science, University of Bradford, Bradford BD7 1DP, UK
2
Electrical and Computer Engineering Department, University of Alberta, Edmonton, AB T6G 2H5, Canada
*
Author to whom correspondence should be addressed.
Electronics 2022, 11(24), 4133; https://doi.org/10.3390/electronics11244133
Submission received: 28 November 2022 / Revised: 7 December 2022 / Accepted: 8 December 2022 / Published: 12 December 2022
(This article belongs to the Special Issue Advances in Stochastic System Modeling, Control, Optimization, and Their Applications)
Versions Notes

Abstract

Stochastic systems can be widely adopted for describing practical complex systems, such as meteorology. Recently, there have been many advances in the design of stochastic systems, including system modeling, control, estimation, performance enhancement, and industrial applications. Motivated by these results, this Special Issue encourages researchers to publish their latest contributions in the study of stochastic systems. In summary, we first introduce the current technical challenges in stochastic systems. Then, a current prevalent problem is provided to demonstrate the challenges in these systems, while the developing trends for stochastic system research are summarised. In particular, data-driven non-Gaussian system analyses will be the one of the significant research focal points in future.
Keywords: stochastic system modeling; stochastic system control; stochastic system optimization; stochastic system application stochastic system modeling; stochastic system control; stochastic system optimization; stochastic system application

Share and Cite

MDPI and ACS Style

Zhang, Q.; Shu, Z. Editorial: Advances in Stochastic System Modeling, Control, Optimization, and Their Applications. Electronics 2022, 11, 4133. https://doi.org/10.3390/electronics11244133

AMA Style

Zhang Q, Shu Z. Editorial: Advances in Stochastic System Modeling, Control, Optimization, and Their Applications. Electronics. 2022; 11(24):4133. https://doi.org/10.3390/electronics11244133

Chicago/Turabian Style

Zhang, Qichun, and Zhan Shu. 2022. "Editorial: Advances in Stochastic System Modeling, Control, Optimization, and Their Applications" Electronics 11, no. 24: 4133. https://doi.org/10.3390/electronics11244133

APA Style

Zhang, Q., & Shu, Z. (2022). Editorial: Advances in Stochastic System Modeling, Control, Optimization, and Their Applications. Electronics, 11(24), 4133. https://doi.org/10.3390/electronics11244133

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