Identification and Control : The Gap Between Theory and Practice

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. __Identification and Control__ meets the difficulty of making practical use of new systems theory head on, presenting a selection of varied applications together with relevant theory. The highly-experienced groups of researchers and engineers contributing to this volume show how workable identification and control solutions can be derived by adapting and extrapolating from the theory. Each chapter has a common structure: a brief presentation of theory, extensively cited throughout the chapter; the description of a particular application; experimental results; and a final section highlighting, explaining and laying out solutions to the discrepancy between the theoretical and the practical. The extensive list of applications used as examples includes: mine planning, suspension polymerization, copper founding, magnetic bearings, electromechanical systems, aircraft flight, active noise control, sewer networks, flexible structures, active suspension and active vision. __Identification and Control__ faces a well-known but often-evaded problem squarely and helps it readers to prevail against it. This collection is written for researchers interested in the application of control theory and for engineers who want to make use of new ideas in identification and control. 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. Front Matter....Pages i-xv Front Matter....Pages 1-1 Identification and Control of Polymerization Reactors....Pages 3-41 Open-cut Mine Planning via Closed-loop Receding-horizon Optimal Control....Pages 43-62 Energy Saving in a Copper Smelter by means of Model Predictive Control....Pages 63-85 On Hybrid Model Predictive Control of Sewer Networks....Pages 87-114 Front Matter....Pages 115-115 Nonlinear System Identification of Aeroelastic Systems: A Structure-detection Approach....Pages 117-145 Modeling and Control of Flexible Structures in Frequency Domain....Pages 147-164 Front Matter....Pages 165-165 Robust Identification and Model (In)Validation of Active-vision Systems....Pages 167-201 Identification and Control Structure Design in Active (Acoustic) Noise Control....Pages 203-244 Front Matter....Pages 245-245 Iterative Identification and Control Design: Methodology and Applications....Pages 247-276 Classical, Robust and LPV Control of a Magnetic-bearing Experiment....Pages 277-325 Back Matter....Pages 327-330 This book meets head-on the difficulty of making practical use of new systems theory, presenting a selection of varied applications together with relevant theory. It shows how workable identification and control solutions can be derived by adapting and extrapolating from the theory. Each chapter has a common structure: a brief presentation of theory; the description of a particular application; experimental results; and a section highlighting, explaining and laying out solutions to the discrepancy between the theoretical and the practical.