Linear Parameter Varying Control Engineering by White Andrew (13 results)
Language: English
Published by Springer, 2013
Series: Book 4 of 27 - SpringerBriefs in Electrical and Computer Engineering
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Published by Springer 2013-04, 2013
Series: Book 4 of 27 - SpringerBriefs in Electrical and Computer Engineering
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Language: English
Published by Springer, 2013
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Condition: New. pp. 126.
Language: English
Published by Springer Verlag, 2013
Series: Book 4 of 27 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Paperback. Condition: Brand New. 2013 edition. 120 pages. 9.00x6.00x0.25 inches. In Stock.
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Language: English
Published by Springer, Springer, 2013
Series: Book 4 of 27 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The subject of this brief is the application of linear parameter-varying (LPV) control to a class of dynamic systems to provide a systematic synthesis of gain-scheduling controllers with guaranteed stability and performance. An important step in LP…V control design, which is not well covered in the present literature, is the selection of weighting functions. The proper selection of weighting functions tunes the controller to obtain the desired closed-loop response. The selection of appropriate weighting functions is difficult and sometimes appears arbitrary. In this brief, gain-scheduling control with engineering applications is covered in detail, including the LPV modeling, the control problem formulation, and the weighting function optimization. In addition, an iterative algorithm for obtaining optimal output weighting functions with respect to the H2 norm bound is presented in this brief. Using this algorithm, the selection of appropriate weighting functions becomes an automatic process. The LPV design and control synthesis procedures in this brief are illustrated using: - air-to-fuel ratio control for port-fuel-injection engines; - variable valve timing control; and - application to a vibration control problem. After reading this brief, the reader will be able to apply its concepts to design gain-scheduling controllers for their own engineering applications. This brief provides detailed step-by-step LPV modeling and control design strategies along with an automatic weight-selection algorithm so that engineers can apply state-of-the-art LPV control synthesis to solve their own engineering problems. In addition, this brief should serve as a bridge between the H-infinity and H2 control theory and the real-world application of gain-scheduling control.
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Language: English
Published by Springer, 2013
Series: Book 4 of 27 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Taschenbuch. Condition: Neu. Linear Parameter-Varying Control for Engineering Applications | Andrew P. White (u. a.) | Taschenbuch | xiii | Englisch | 2013 | Springer | EAN 9781447150398 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbi…eter: preigu.
Language: English
Published by Springer, 2013
Series: Book 4 of 27 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Condition: new. Questo è un articolo print on demand.
Language: English
Published by Springer, 2013
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- Softcover
- Print on Demand
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Language: English
Published by Springer London Apr 2013, 2013
Series: Book 4 of 27 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The subject of this brief is the application of linear parameter-varying (LPV) control to a class of dynamic systems to provide a systematic synthesis of gain-scheduling controllers with guaranteed stability and performance. An impo…rtant step in LPV control design, which is not well covered in the present literature, is the selection of weighting functions. The proper selection of weighting functions tunes the controller to obtain the desired closed-loop response. The selection of appropriate weighting functions is difficult and sometimes appears arbitrary. In this brief, gain-scheduling control with engineering applications is covered in detail, including the LPV modeling, the control problem formulation, and the weighting function optimization. In addition, an iterative algorithm for obtaining optimal output weighting functions with respect to the H2 norm bound is presented in this brief. Using this algorithm, the selection of appropriate weighting functions becomes an automatic process. The LPV design and control synthesis procedures in this brief are illustrated using: - air-to-fuel ratio control for port-fuel-injection engines; - variable valve timing control; and - application to a vibration control problem. After reading this brief, the reader will be able to apply its concepts to design gain-scheduling controllers for their own engineering applications. This brief provides detailed step-by-step LPV modeling and control design strategies along with an automatic weight-selection algorithm so that engineers can apply state-of-the-art LPV control synthesis to solve their own engineering problems. In addition, this brief should serve as a bridge between the H-infinity and H2 control theory and the real-world application of gain-scheduling control. 124 pp. Englisch.
Language: English
Published by Springer, 2013
Series: Book 4 of 27 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
- Print on Demand
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Condition: New. Print on Demand pp. 126 37 Illus. (2 Col.).
Language: English
Published by Springer, 2013
Series: Book 4 of 27 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Condition: New. PRINT ON DEMAND pp. 126.
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Language: English
Published by Springer London, 2013
Series: Book 4 of 27 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Assists the reader in applied gain-scheduling control design using a novel output weight tuning algorithm Demonstrates LPV gain-scheduling controller design using three practical design examples Shows the reader LPV m…odeling based on either system identific.
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Language: English
Published by Springer, Springer Apr 2013, 2013
Series: Book 4 of 27 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
- Print on Demand
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The subject of this brief is the application of linear parameter-varying (LPV) control to a class of dynamic systems to provide a systematic synthesis of gain-scheduling controllers with guaranteed stability and performance.An important… step in LPV control design, which is not well covered in the present literature, is the selection of weighting functions. The proper selection of weighting functions tunes the controller to obtain the desired closed-loop response. The selection of appropriate weighting functions is difficult and sometimes appears arbitrary. In this brief, gain-scheduling control with engineering applications is covered in detail, including the LPV modeling, the control problem formulation, and the weighting function optimization. In addition, an iterative algorithm for obtaining optimal output weighting functions with respect to the H2 norm bound is presented in this brief. Using this algorithm, the selection of appropriate weighting functions becomes an automatic process. The LPV design and control synthesis procedures in this brief are illustrated using:¿ air-to-fuel ratio control for port-fuel-injection engines;¿ variable valve timing control; and¿ application to a vibration control problem.After reading this brief, the reader will be able to apply its concepts to design gain-scheduling controllers for their own engineering applications. This brief provides detailed step-by-step LPV modeling and control design strategies along with an automatic weight-selection algorithm so that engineers can apply state-of-the-art LPV control synthesis to solve their own engineering problems. In addition, this brief should serve as a bridge between the H-infinity and H2 control theory and the real-world application of gain-scheduling control.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 124 pp. Englisch.
