Tracking Control for Output Probability Density Function of Stochastic Systems Using FPD Method
Output probability density function (PDF) tracking control of stochastic systems has always been a challenging problem in both theoretical development and engineering practice. Focused on this challenge, this work proposes a novel stochastic control framework so that the output PDF can track a given...
Main Authors: | Yi Yang, Yong Zhang, Yuyang Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/25/2/186 |
Similar Items
-
Two-Step Neural-Network-Based Fault Isolation for Stochastic Systems
by: Liping Yin, et al.
Published: (2022-11-01) -
Note on fuzzifying probability density function and its properties
by: Dojin Kim, et al.
Published: (2023-04-01) -
Relativistic probability densities for location
by: Joshua G Fenwick, et al.
Published: (2023-01-01) -
Analysis of a stochastic epidemic model for cholera disease based on probability density function with standard incidence rate
by: Yuqin Song, et al.
Published: (2023-05-01) -
Probability and stochastic processes /
by: 392087 Solomon, Frederick
Published: (1987)