The authors formulate and solve two related control-oriented system identification problems
for stable linear shift-invariant distributed parameter plants. In each of these problems the …

An overview is given of some current research activities on the design of high-performance
controllers for plants with uncertain dynamics, based on approximate identification and …

This book is concerned with applications of functional analysis and complex analysis to
problems of interpolation in spaces of analytic functions. The problems we look at are those …

This paper provides an introduction to recent work on the problem of quantifying errors in the
estimation of models for dynamic systems. This is a very large field. We therefore …

This paper introduces the reader to several recent developments in worst-case identification
motivated by various issues of modelling of systems from data for the purpose of robust …

The intrinsic limitation of worst-case identification of linear time-invariant systems using data
corrupted by bounded disturbances, when the unknown plant is known to belong to a given …

We consider the problem of identification of linear systems in the presence of measurement
noise which is unknown but bounded in magnitude by some δ> 0. We focus on the case of …

A procedure is developed for identification of probabilistic system uncertainty regions for a
linear time-invariant system with unknown dynamics, on the basis of time sequences of input …

A new identification algorithm which identifies low complexity models of infinite-dimensional
systems from equidistant frequency-response data is presented. The new algorithm is a …

Worst-case l1 identification is studied for BIBO stable linear shift-invariant systems. It is
shown that the Chebyshev identification method when used with Galois input designs …