In many problems such as linear and nonlinear regressions, parameter and state estimation
of dynamic systems, state-space and time series prediction, interpolation, smoothing and …

A new way to design parameter estimators with enhanced performance is proposed in the
paper. The procedure consists of two stages, first, the generation of new regression forms …

Explains set theoretic estimation, which is governed by the notion of feasibility and produces
solutions whose sole property is to be consistent with all information arising from the …

Recursive least squares (RLS) is a technique used for minimizing a quadratic cost function,
where the minimizer is updated at each step as new data become available. RLS is more …

Set-membership identification (SMI) theory is extended to the more general problem of
linear-in-parameters filtering by defining a set-membership specification, as opposed to a …

Since usability is considered as a critical success factor for any software application, several
evaluation methods have been developed. Nowadays, it is possible to find many proposals …

Set-membership techniques for estimating parameters from uncertain data are reviewed.
Contrary to the prevailing usage, the error in the data is not considered as a random variable …

A method is described which exactly characterizes the set of all the values of the parameter
vector of a linear model that are consistent with bounded errors on the measurements. It …

Set membership (SM) identification refers to a class of techniques for estimating parameters
of linear systems or signal models under a priori information that constrains the solutions to …

The accurate state-of-charge (SOC) estimation and real-time performance are critical
evaluation indexes for Li-ion battery management systems (BMS). High accuracy algorithms …