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

• Published in: Optimal control applications & methods Vol. 42; no. 6; pp. 1812 - 1839
• Main Authors: Wang, Aiping, Wang, Hong
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.11.2021; Wiley Subscription Services, Inc
• Subjects: Complex systems; Control systems design; Control tasks; Control theory; Data mining; Decision analysis; Economics; fault detection and diagnosis; filtering; iterative learning mechanisms; neural networks; Optimal control; Optimization; Parameters; Probability density functions; Probability theory; Random variables; Shape control; Signal processing; stochastic distribution control systems; Stochastic processes; Stochastic systems; System theory; Systems analysis; Systems theory; Uncertainty
• ISSN: 0143-2087; 1099-1514
• DOI: 10.1002/oca.2755

Complex systems seen either in general engineering practice or economics are subjected to ever increased uncertainties that are mostly represented as random variables or parameters, and the characteristics of random variables are represented by their probability density functions (PDFs). Controlling...