Model-Based Control:

Fundamentals. - Linear Systems in Discrete Time. - Robust Controller Synthesis is Convex for Systems without Control Channel Uncertainties. - Conservation Laws and Lumped System Dynamics. - Polynomial Optimization Problems are Eigenvalue Problems. - Bridging Theory and Applied Technology. - Designing Instrumentation for Control. - Uncertain Model Set Calculation from Frequency Domain Data. - Robust Estimation for Automatic Controller Tuning with Application to Active Noise Control. - Identification of Parameters in Large Scale Physical Model Structures, for the Purpose of Model-Based Operations. - Applications in Motion Control Systems and Industrial Process Control. - Recovering Data from Cracked Optical Discs using Hankel Iterative Learning Control. - Advances in Data-driven Optimization of Parametric and Non-parametric Feedforward Control Designs with Industrial Applications. - Incremental Identification of Hybrid Models of Dynamic Process Systems. - Front Controllability in Two-Phase Porous Media Flow. - PhD Supervision by Okko H. Bosgra. - Okko H. Bosgra, Bibliographic Record.