Researchers develop models to explain the unknowns. These models typically involve
parameters that capture tangible quantities, the estimation of which is desired. Parameter …

In wastewater treatment plants (WWTPs), the stochastic nature of influent wastewater and
operational and weather conditions cause fluctuations in effluent quality. Data-driven …

The binary-decision dynamics of two types of individuals; coordinators who tend to choose
the more common option among others and anti-coordinators who avoid the common option …

In this paper, we analyze the asymptotic covariance of models of causal single-input single-
output linear time invariant systems. Expressions for the asymptotic (co) variance of system …

Adjustment of an unknown parameter of the multistage expert procedure is considered. The
lower and upper boundaries of the parameter are counted to be known. A key condition …

Researchers develop new models to explain the unknowns. The developed models typically
involve parameters that capture tangible quantities, the estimation of which is desired …

We study the accuracy of identified linear time-invariant multi-input multi-output (MIMO)
systems. Under a stochastic framework, we quantify the effect of the spatial correlation and …

In this paper we address the identification of linear time-invariant single-input multi-output
(SIMO) systems. In particular, we assess the performance of the prediction error method by …

The accuracy of identified linear time-invariant single-input multi-output (SIMO) models can
be improved when the disturbances affecting the output measurements are spatially …

The purpose of system identification is to construct mathematical models of dynamical
system from experimental data. With the current trend of dynamical systems encountered in …