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Full Description
This book is an ambitious attempt to bridge the infamous gap between theory and practice in control. The book has ten chapters, written by seasoned researchers from all over the world. It is organized in four parts: Large-scale Problems, Aerospace, Vision and Sound and Electromechanical, and covers a very wide range of problems from chemical reactors to magnetic bearings. In spite of the wide diversity of topics and authors a coherent presentation is obtained by a uniform organization imposed by the editors. Each chapter begins with a brief summary of the theory and a - scription of the application, followed by results of simulations or experiments and conclusions. The problem descriptions and the discussions about the relevance of the theory are more detailed than presentations normally found in papers. The book is a nice complement to traditional textbooks and the wide range of topics illustrate the richness and ubiquity of identi?cation and control. Santa Barbara, California, USA KarlJohanÅström March 2007 Preface System theory, in particular, automatic control and system identi?cation have ex- rienced a fast evolution in the past decades. Many new methods have been dev- oped, performance requirements in traditional engineering areas have signi?cantly increased and new and more demanding applications in other areas of engineering and science have appeared. Many textbooks have been written that present the r- evant theory and sometimes "practical" examples to which the theory has been - plied.
Contents
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.
