… in parameter estimates for highly nonlinear systems, especially … This section, we analyze the
variance of the AMP estimates relative to … error variance, deriving based on first-order Taylor …

… the modeling of two examples including nonlinear system … parametric estimation algorithm
of multivariable nonlinear … systems, analysis, and control of networked control systems. …

… is a basic premise of nonlinear system analysis and control. … class of Hammerstein nonlinear
systems, which consists of a … -based parameter estimation algorithms for the Hammerstein …

… control system so that the accurate control of nonlinear systems … Furthermore, the convergence
analysis of the proposed … the parameter estimation can converge to true parameter value. …

… unbiased parameter estimation for nonlinear systems subject … -iterative subspace
Hammerstein-type model identification method … , followed by analysis on the estimation …

… Summary This paper addresses the combined estimation issues of the parameters and … This
study proposes recursive solutions for fractional-order nonlinear systems by using the model …

… fractional Hammerstein nonlinear system where its parameters … the estimator statistical
properties are analyzed using Monte … of the parameter estimates, and the criterion J values using …

… response to the nonlinear case, in much the same way as a Taylor series expansion for … of
the system, estimating Volterra kernels was until recently limited to weakly nonlinear systems …

… a correlation analysis. Then, to determine the … of the nonlinear system of the Hammerstein
model is addressed. Most of the available solutions of Hammerstein model identification …

… nonlinear system analysis in a limited space, this review is restricted to discussions only on
block-oriented nonlinear models, parametric estimation … same structure of Taylor's series but …