Beschreibung:
While automatic control and system identification have evolved very rapidly in recent years, there is still an important disjunction between the ideas in theoretical texts and what goes on in real plant. There are very few, if any, situations in which "out-of-the-box" theory fits practical application without simplification and adjustment. This mismatch is important, especially in safety-critical applications and is usually compensated by extensive simulation and/or experimental testing.
"While automatic control and system identification have evolved very rapidly in recent years, there is still an important disjunction between the ideas in theoretical texts and what goes on in real plant. There are very few situations in which "out-of-the-box" theory fits practical application without simplification and adjustment.
Large-scale Problems.- Identification and Control of Polymerization Reactors.- Open-cut Mine Planning via Closed-loop Receding-horizon Optimal Control.- Energy Saving in a Copper Smelter by means of Model Predictive Control.- On Hybrid Model Predictive Control of Sewer Networks.- Aerospace.- Nonlinear System Identification of Aeroelastic Systems: A Structure-detection Approach.- Modeling and Control of Flexible Structures in Frequency Domain.- Vision and Sound.- Robust Identification and Model (In)Validation of Active-vision Systems.- Identification and Control Structure Design in Active (Acoustic) Noise Control.- Electromechanical.- Iterative Identification and Control Design: Methodology and Applications.- Classical, Robust and LPV Control of a Magnetic-bearing Experiment.