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Diffstat (limited to 'man/impulseest.Rd')
-rw-r--r-- | man/impulseest.Rd | 13 |
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{ |