Model-Based Control: Bridging Rigorous Theory and Advanced Technology

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.