This paper considers a problem of identifying errors-in-variables (EIV) models under the
assumption that a discrete frequency power spectrum is given. A new formulation of …

In model reference control, the objective is to design a controller such that the closed-loop
system resembles a reference model. In the standard model-based solution, a plant model …

This dissertation is submitted to the Technical University of Denmark (DTU) in partial
fulfillment of the requirements for the degree of Doctor of Philosophy (Ph. D.) in Chemical …

Due to their frictionless operation active magnetic bearings (AMBs) are essential
components in high-speed rotating machinery. Active magnetic control of a high speed …

Modeling uncertainties resulting from input-output identification are inevitable. In this paper,
input design minimizing the uncertainties in the static spatial model of paper machines is …

The classical approach to system identification is based on stochastic assumptions about
the measurement error, and provides estimates that have random nature. Worst-case …

The development of identification theory in the control literature followed on the heels of the
development of model-based control design around 1960. Up until the late 1950's, much of …

This dissertation develops a probabilistic method for validation and verification (V&V) of
uncertain nonlinear systems. Existing systems-control literature on model and controller V&V …

A mismatch between prior modeling assumptions and reality can fool an adaptive controller
design into persistently preferring a destabilizing controller even which the instability is …

With knowledge of the internal stability of a closed-loop system with an unknown plant P and
a known controller C 1, we search for a controller better than the currently stabilizing …