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-rw-r--r--man/impulseest.Rd13
1 files changed, 7 insertions, 6 deletions
diff --git a/man/impulseest.Rd b/man/impulseest.Rd
index 0eddac7..4852d2c 100644
--- a/man/impulseest.Rd
+++ b/man/impulseest.Rd
@@ -1,4 +1,4 @@
-% Generated by roxygen2 (4.1.1): do not edit by hand
+% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/nonparam.R
\name{impulseest}
\alias{impulseest}
@@ -11,21 +11,21 @@ impulseest(x, M = 30, K = NULL, regul = F, lambda = 1)
\item{M}{Order of the FIR Model (Default:\code{30})}
-\item{K}{Transport delay in the estimated impulse response
+\item{K}{Transport delay in the estimated impulse response
(Default:NULL)}
-\item{regul}{Parameter indicating whether regularization should be
+\item{regul}{Parameter indicating whether regularization should be
used. (Default:\code{FALSE})}
\item{lambda}{The value of the regularization parameter. Valid only if
\code{regul=TRUE}. (Default:\code{1})}
}
\description{
-\code{impulseest} is used to estimate impulse response coefficients from
+\code{impulseest} is used to estimate impulse response coefficients from
the data
}
\details{
-The IR Coefficients are estimated using linear least squares. Future
+The IR Coefficients are estimated using linear least squares. Future
Versions will provide support for multivariate data.
}
\examples{
@@ -34,9 +34,10 @@ yk <- filter (uk,c(0.9,-0.4),method="recursive") + rnorm(1000,1)
data <- idframe(output=data.frame(yk),input=data.frame(uk))
fit <- impulseest(data)
plot(fit)
+
}
\references{
-Arun K. Tangirala (2015), \emph{Principles of System Identification:
+Arun K. Tangirala (2015), \emph{Principles of System Identification:
Theory and Practice}, CRC Press, Boca Raton. Sections 17.4.11 and 20.2
}
\seealso{