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Identification and Control [electronic resource] : The Gap between Theory and Practice / edited by Ricardo S. Sánchez Peña, Vicenç Puig Cayuela, Joseba Quevedo Casín.

By: Sánchez Peña, Ricardo S [editor.].
Contributor(s): Cayuela, Vicenç Puig [editor.] | Casín, Joseba Quevedo [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: London : Springer London, 2007Description: XV, 330 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781846288999.Subject(s): Engineering | Chemical engineering | Vibration | Industrial engineering | Environmental pollution | Engineering | Control Engineering | Industrial Chemistry/Chemical Engineering | Industrial and Production Engineering | Automation and Robotics | Vibration, Dynamical Systems, Control | Waste Water Technology / Water Pollution Control / Water Management / Aquatic PollutionOnline resources: Click here to access online
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.
In: Springer eBooksSummary: 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.
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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.

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.

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