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 …
DNC Tse, MA Dahleh… - IEEE Transactions on …, 1993 - ieeexplore.ieee.org
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 …
MA Dahleh, TV Theodosopoulos, JN Tsitsiklis - Systems & control letters, 1993 - Elsevier
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 …
RG Hakvoort, MJ Van den Hof - IEEE Transactions on …, 1997 - ieeexplore.ieee.org
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 …
PM Mäkilä - International Journal of Control, 1991 - Taylor & Francis
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 …