Optimal Measurement Methods for Distributed Parameter System Identification (Taylor & Francis Systems and Control Book Series.)

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9780849323133: Optimal Measurement Methods for Distributed Parameter System Identification (Taylor & Francis Systems and Control Book Series.)

For dynamic distributed systems modeled by partial differential equations, existing methods of sensor location in parameter estimation experiments are either limited to one-dimensional spatial domains or require large investments in software systems. With the expense of scanning and moving sensors, optimal placement presents a critical problem.

Optimal Measurement Methods for Distributed Parameter System Identification discusses the characteristic features of the sensor placement problem, analyzes classical and recent approaches, and proposes a wide range of original solutions, culminating in the most comprehensive and timely treatment of the issue available. By presenting a step-by-step guide to theoretical aspects and to practical design methods, this book provides a sound understanding of sensor location techniques.

Both researchers and practitioners will find the case studies, the proposed algorithms, and the numerical examples to be invaluable. This text also offers results that translate easily to MATLAB and to Maple. Assuming only a basic familiarity with partial differential equations, vector spaces, and probability and statistics, and avoiding too many technicalities, this is a superb resource for researchers and practitioners in the fields of applied mathematics, electrical, civil, geotechnical, mechanical, chemical, and environmental engineering.

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1.

Dariusz Ucinski
Editorial: Taylor Francis Inc, United States (2004)
ISBN 10: 0849323134 ISBN 13: 9780849323133
Nuevos Tapa dura Cantidad: 1
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The Book Depository
(London, Reino Unido)
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Descripción Taylor Francis Inc, United States, 2004. Hardback. Estado de conservación: New. New.. Language: English . Brand New Book. For dynamic distributed systems modeled by partial differential equations, existing methods of sensor location in parameter estimation experiments are either limited to one-dimensional spatial domains or require large investments in software systems. With the expense of scanning and moving sensors, optimal placement presents a critical problem. Optimal Measurement Methods for Distributed Parameter System Identification discusses the characteristic features of the sensor placement problem, analyzes classical and recent approaches, and proposes a wide range of original solutions, culminating in the most comprehensive and timely treatment of the issue available. By presenting a step-by-step guide to theoretical aspects and to practical design methods, this book provides a sound understanding of sensor location techniques. Both researchers and practitioners will find the case studies, the proposed algorithms, and the numerical examples to be invaluable. This text also offers results that translate easily to MATLAB and to Maple. Assuming only a basic familiarity with partial differential equations, vector spaces, and probability and statistics, and avoiding too many technicalities, this is a superb resource for researchers and practitioners in the fields of applied mathematics, electrical, civil, geotechnical, mechanical, chemical, and environmental engineering. Nº de ref. de la librería AA69780849323133

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Dariusz Ucinski
Editorial: Taylor & Francis Inc
ISBN 10: 0849323134 ISBN 13: 9780849323133
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Descripción Taylor & Francis Inc. Hardback. Estado de conservación: new. BRAND NEW, Optimal Measurement Methods for Distributed Parameter System Identification, Dariusz Ucinski, For dynamic distributed systems modeled by partial differential equations, existing methods of sensor location in parameter estimation experiments are either limited to one-dimensional spatial domains or require large investments in software systems. With the expense of scanning and moving sensors, optimal placement presents a critical problem. Optimal Measurement Methods for Distributed Parameter System Identification discusses the characteristic features of the sensor placement problem, analyzes classical and recent approaches, and proposes a wide range of original solutions, culminating in the most comprehensive and timely treatment of the issue available. By presenting a step-by-step guide to theoretical aspects and to practical design methods, this book provides a sound understanding of sensor location techniques. Both researchers and practitioners will find the case studies, the proposed algorithms, and the numerical examples to be invaluable. This text also offers results that translate easily to MATLAB and to Maple. Assuming only a basic familiarity with partial differential equations, vector spaces, and probability and statistics, and avoiding too many technicalities, this is a superb resource for researchers and practitioners in the fields of applied mathematics, electrical, civil, geotechnical, mechanical, chemical, and environmental engineering. Nº de ref. de la librería B9780849323133

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Dariusz Ucinski
Editorial: Taylor Francis Inc, United States (2004)
ISBN 10: 0849323134 ISBN 13: 9780849323133
Nuevos Tapa dura Cantidad: 1
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The Book Depository US
(London, Reino Unido)
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Descripción Taylor Francis Inc, United States, 2004. Hardback. Estado de conservación: New. New.. Language: English . Brand New Book. For dynamic distributed systems modeled by partial differential equations, existing methods of sensor location in parameter estimation experiments are either limited to one-dimensional spatial domains or require large investments in software systems. With the expense of scanning and moving sensors, optimal placement presents a critical problem. Optimal Measurement Methods for Distributed Parameter System Identification discusses the characteristic features of the sensor placement problem, analyzes classical and recent approaches, and proposes a wide range of original solutions, culminating in the most comprehensive and timely treatment of the issue available. By presenting a step-by-step guide to theoretical aspects and to practical design methods, this book provides a sound understanding of sensor location techniques. Both researchers and practitioners will find the case studies, the proposed algorithms, and the numerical examples to be invaluable. This text also offers results that translate easily to MATLAB and to Maple. Assuming only a basic familiarity with partial differential equations, vector spaces, and probability and statistics, and avoiding too many technicalities, this is a superb resource for researchers and practitioners in the fields of applied mathematics, electrical, civil, geotechnical, mechanical, chemical, and environmental engineering. Nº de ref. de la librería AA69780849323133

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Ucinski, Dariusz
ISBN 10: 0849323134 ISBN 13: 9780849323133
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Descripción 2004. HRD. Estado de conservación: New. New Book. Shipped from US within 10 to 14 business days. Established seller since 2000. Nº de ref. de la librería VT-9780849323133

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Dariusz Ucinski
Editorial: Taylor and Francis 2004-08-27, Boca Raton, Fla. |London (2004)
ISBN 10: 0849323134 ISBN 13: 9780849323133
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Blackwell's
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Descripción Taylor and Francis 2004-08-27, Boca Raton, Fla. |London, 2004. hardback. Estado de conservación: New. Nº de ref. de la librería 9780849323133

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Dariusz Ucinski
Editorial: CRC Press (2004)
ISBN 10: 0849323134 ISBN 13: 9780849323133
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Ergodebooks
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Descripción CRC Press, 2004. Hardcover. Estado de conservación: New. 1. Nº de ref. de la librería DADAX0849323134

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Ucinski Dariusz
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ISBN 10: 0849323134 ISBN 13: 9780849323133
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Descripción Taylor & Francis Group. Estado de conservación: New. pp. 392. Nº de ref. de la librería 8386704

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Ucinski, Dariusz
Editorial: CRC Press (2004)
ISBN 10: 0849323134 ISBN 13: 9780849323133
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Descripción CRC Press, 2004. Hardcover. Estado de conservación: New. Never used!. Nº de ref. de la librería P110849323134

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Dariusz Ucinski
Editorial: Taylor Francis Inc, United States (2004)
ISBN 10: 0849323134 ISBN 13: 9780849323133
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Book Depository hard to find
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Descripción Taylor Francis Inc, United States, 2004. Hardback. Estado de conservación: New. New.. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. For dynamic distributed systems modeled by partial differential equations, existing methods of sensor location in parameter estimation experiments are either limited to one-dimensional spatial domains or require large investments in software systems. With the expense of scanning and moving sensors, optimal placement presents a critical problem. Optimal Measurement Methods for Distributed Parameter System Identification discusses the characteristic features of the sensor placement problem, analyzes classical and recent approaches, and proposes a wide range of original solutions, culminating in the most comprehensive and timely treatment of the issue available. By presenting a step-by-step guide to theoretical aspects and to practical design methods, this book provides a sound understanding of sensor location techniques. Both researchers and practitioners will find the case studies, the proposed algorithms, and the numerical examples to be invaluable. This text also offers results that translate easily to MATLAB and to Maple. Assuming only a basic familiarity with partial differential equations, vector spaces, and probability and statistics, and avoiding too many technicalities, this is a superb resource for researchers and practitioners in the fields of applied mathematics, electrical, civil, geotechnical, mechanical, chemical, and environmental engineering. Nº de ref. de la librería BTE9780849323133

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UCINSKI, DARIUSZ.
Editorial: CRC Press (2004)
ISBN 10: 0849323134 ISBN 13: 9780849323133
Nuevos Tapa dura Cantidad: 1
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Herb Tandree Philosophy Books
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Descripción CRC Press, 2004. Hardback. Estado de conservación: NEW. 9780849323133 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE0182307

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