Model-Based Control of Particulate Processes:
Particulate processes are characterized by the co-presence of a contin uous phase and a dispersed (particulate) phase, and are widely used in industry for the manufacturing of many high-value products. Examples include the crystallization of proteins for pharmaceutical applications, the emulsion po...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
2002
|
| Schriftenreihe: | Particle Technology Series
14 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | Particulate processes are characterized by the co-presence of a contin uous phase and a dispersed (particulate) phase, and are widely used in industry for the manufacturing of many high-value products. Examples include the crystallization of proteins for pharmaceutical applications, the emulsion polymerization reactors for the production of latex, the aerosol synthesis of titania powder used in the production of white pig ments, and the thermal spray processing of nanostructured coatings. It is now well understood that the physico-chemical and mechanical properties of materials made with particulates depend heavily on the characteristics of the corresponding particle size distribution. This fact, together with recent advances in dynamics of infinite-dimensional sys tems and nonlinear control theory, has motivated extensive research on model-based control of particulate processes using population balances to achieve tight control of particle size distributions. This book - the first of its kind - presents general methods for the synthesis of nonlinear, robust and constrained feedback controllers for broad classes of particulate process models and illustrates their applica tions to industrially-important crystallization, aerosol and thermal spray processes. The controllers use a finite number of measurement sensors and control actuators to achieve stabilization of the closed-loop system, output tracking, attenuation of the effect of model uncertainty and han dling of actuator saturation |
| Beschreibung: | 1 Online-Ressource (XX, 211 p) |
| ISBN: | 9789401598828 |
| DOI: | 10.1007/978-94-015-9882-8 |
Internformat
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Datensatz im Suchindex
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:04Z |
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| isbn | 9789401598828 |
| language | English |
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| physical | 1 Online-Ressource (XX, 211 p) |
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| spelling | Christofides, Panagiotis D. Verfasser aut Model-Based Control of Particulate Processes by Panagiotis D. Christofides Dordrecht Springer Netherlands 2002 1 Online-Ressource (XX, 211 p) txt rdacontent c rdamedia cr rdacarrier Particle Technology Series 14 Particulate processes are characterized by the co-presence of a contin uous phase and a dispersed (particulate) phase, and are widely used in industry for the manufacturing of many high-value products. Examples include the crystallization of proteins for pharmaceutical applications, the emulsion polymerization reactors for the production of latex, the aerosol synthesis of titania powder used in the production of white pig ments, and the thermal spray processing of nanostructured coatings. It is now well understood that the physico-chemical and mechanical properties of materials made with particulates depend heavily on the characteristics of the corresponding particle size distribution. This fact, together with recent advances in dynamics of infinite-dimensional sys tems and nonlinear control theory, has motivated extensive research on model-based control of particulate processes using population balances to achieve tight control of particle size distributions. This book - the first of its kind - presents general methods for the synthesis of nonlinear, robust and constrained feedback controllers for broad classes of particulate process models and illustrates their applica tions to industrially-important crystallization, aerosol and thermal spray processes. The controllers use a finite number of measurement sensors and control actuators to achieve stabilization of the closed-loop system, output tracking, attenuation of the effect of model uncertainty and han dling of actuator saturation Engineering Industrial and Production Engineering Industrial Chemistry/Chemical Engineering Chemical engineering Industrial engineering Production engineering Regelung (DE-588)4048971-1 gnd rswk-swf Teilchentechnologie (DE-588)4429656-3 gnd rswk-swf Verfahrenstechnik (DE-588)4062781-0 gnd rswk-swf Teilchentechnologie (DE-588)4429656-3 s Verfahrenstechnik (DE-588)4062781-0 s Regelung (DE-588)4048971-1 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 9789048161485 https://doi.org/10.1007/978-94-015-9882-8 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Christofides, Panagiotis D. Model-Based Control of Particulate Processes Engineering Industrial and Production Engineering Industrial Chemistry/Chemical Engineering Chemical engineering Industrial engineering Production engineering Regelung (DE-588)4048971-1 gnd Teilchentechnologie (DE-588)4429656-3 gnd Verfahrenstechnik (DE-588)4062781-0 gnd |
| subject_GND | (DE-588)4048971-1 (DE-588)4429656-3 (DE-588)4062781-0 |
| title | Model-Based Control of Particulate Processes |
| title_auth | Model-Based Control of Particulate Processes |
| title_exact_search | Model-Based Control of Particulate Processes |
| title_full | Model-Based Control of Particulate Processes by Panagiotis D. Christofides |
| title_fullStr | Model-Based Control of Particulate Processes by Panagiotis D. Christofides |
| title_full_unstemmed | Model-Based Control of Particulate Processes by Panagiotis D. Christofides |
| title_short | Model-Based Control of Particulate Processes |
| title_sort | model based control of particulate processes |
| topic | Engineering Industrial and Production Engineering Industrial Chemistry/Chemical Engineering Chemical engineering Industrial engineering Production engineering Regelung (DE-588)4048971-1 gnd Teilchentechnologie (DE-588)4429656-3 gnd Verfahrenstechnik (DE-588)4062781-0 gnd |
| topic_facet | Engineering Industrial and Production Engineering Industrial Chemistry/Chemical Engineering Chemical engineering Industrial engineering Production engineering Regelung Teilchentechnologie Verfahrenstechnik |
| url | https://doi.org/10.1007/978-94-015-9882-8 |
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