Author/Authors
M.G. Forbes، نويسنده , , M. Guay and J.F. Forbes، نويسنده ,
DocumentNumber
1384588
Title Of Article
Control design for first-order processes: shaping the probability density of the process state
شماره ركورد
11489
Latin Abstract
While the long term behaviour of a stationary stochastic process is concisely summarized by the probability density function
(PDF), many well-established regulatory control techniques focus only on two quantities derived from the PDF, the mean and
variance, as key design targets. This paper presents a technique for the design of control laws that shape all aspects of the PDF of a
first-order process. By developing relationships between the moments of the PDF and the coefficients in a control law parameterization,
an approximate control law is developed to shape the process PDF as desired.
From Page
399
NaturalLanguageKeyword
Stochastic control , non-Gaussian processes , feedback control methods , Non-linear processes , Stationarity , Discrete-time processes
JournalTitle
Studia Iranica
To Page
410
To Page
410
Link To Document