Survey on stochastic distribution systems: A full probability density function control theory with potential applications-Reference-Cited by-同舟云学术

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Survey on stochastic distribution systems: A full probability density function control theory with potential applications

Published:2021-07-20 Issue:6 Volume:42 Page:1812-1839
ISSN:0143-2087
Container-title:Optimal Control Applications and Methods
language:en
Short-container-title:Optim Control Appl Meth

Author:

Wang Aiping¹²,Wang Hong³⁴^ORCID

Affiliation:

1. Department of Electronic and Information Engineering Bozhou University Bozhou China

2. Institute of Computer Sciences Anhui University Hefei China

3. Energy Science and Technology Directorate, Oak Ridge National Laboratory Oak Ridge Tennessee USA

4. The University of Manchester Manchester UK

Funder

Leverhulme Trust

Engineering and Physical Sciences Research Council

Publisher

Wiley

Subject

Applied Mathematics,Control and Optimization,Software,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/oca.2755

Reference104 articles.

1. Towards fully probabilistic control design

2. Robust control of the output probability density functions for multivariable stochastic systems with guaranteed stability

3. CrespoLG SunJQ.Nonlinear stochastic control via stationary probability density functions. Paper Presented at: Proceedings of the 21st American Control Conference; May 8–10 2002; Anchorage AK.

4. Control design for first-order processes: shaping the probability density of the process state

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