The field of identification and process-parameter estimation has developed rapidly during
the past decade. In this survey paper the state-of-the-art/science is presented in a systematic …

One of the approaches to inverse problems based upon their relations to boundary control
theory (the so-called BC method) is presented. The method gives an efficient way to …

The state-space approaches have stayed in an absolutely dominant position in the field of
systems and control for over a half century. Although a state-space representation is more …

It is control that turns scientific knowledge into useful technology: in physics and engineering
it provides a systematic way for driving a dynamical system from a given initial state into a …

In this paper, three types of uncertain high-order nonlinear models are firstly proposed,
namely, a single high-order fully actuated (HOFA) model with nonlinear uncertainties, an …

In a pedagogical but exhaustive manner, this survey reviews the main results on input-to-
state stability (ISS) for infinite-dimensional systems. This property allows for the estimation of …

Location awareness is vital for emerging Internet-of-Things applications and opens a new
era for Localization-of-Things. This paper first reviews the classical localization techniques …

Time Series Analysis | The Oxford Handbook of Quantitative Methods in Psychology: Vol.
2Statistical Analysis | Oxford Academic Skip to Main Content Advertisement Oxford Academic …

The essential introduction to the principles and applications of feedback systems—now fully
revised and expanded This textbook covers the mathematics needed to model, analyze, and …

The aim of stochastic programming is to find optimal decisions in problems which involve
uncertain data. This field is currently developing rapidly with contributions from many …