Editore: CRC Press, 2017
ISBN 10: 1138077534 ISBN 13: 9781138077539
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Editore: CRC Press, 2017
ISBN 10: 1138077534 ISBN 13: 9781138077539
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Editore: CRC Press, 2017
ISBN 10: 1138077534 ISBN 13: 9781138077539
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Editore: Taylor and Francis Ltd, 2017
ISBN 10: 1138077534 ISBN 13: 9781138077539
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Editore: Taylor & Francis Ltd, 2017
ISBN 10: 1138077534 ISBN 13: 9781138077539
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Editore: CRC Press, 2017
ISBN 10: 1138077534 ISBN 13: 9781138077539
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Editore: CRC Press, 2017
ISBN 10: 1138077534 ISBN 13: 9781138077539
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Editore: CRC Press, 2017
ISBN 10: 1138077534 ISBN 13: 9781138077539
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Editore: CRC Pr I Llc, 2017
ISBN 10: 1138077534 ISBN 13: 9781138077539
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Editore: CRC Press, 2017
ISBN 10: 1138077534 ISBN 13: 9781138077539
Da: GreatBookPricesUK, Castle Donington, DERBY, Regno Unito
Condizione: As New. Unread book in perfect condition.
Editore: CRC Press, 2017
ISBN 10: 1138077534 ISBN 13: 9781138077539
Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Weidong Zhang is a professor at Shanghai Jiaotong University. Dr. Zhang has authored more than 200 refereed papers and holds 15 patents. His research interests include control theory and its applications, embedded systems, and wireless s.
Editore: CRC Press, 2017
ISBN 10: 1138077534 ISBN 13: 9781138077539
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Quantitative Process Control Theory explains how to solve industrial system problems using a novel control system design theory. This easy-to-use theory does not require designers to choose a weighting function and enables the controllers to be designed or tuned for quantitative engineering performance indices such as overshoot.In each chapter, a summary highlights the main problems and results and exercises improve and test your understanding of the material. Mathematical proofs are provided for almost all the results while examples are based on actual situations in industrial plants involving a paper-making machine, heat exchanger, hot strip mill, maglev, nuclear reactor, distillation column/heavy oil fractionator, jacket-cooled reactor, missile, helicopter/plane, and anesthesia.Developed from the author's many years of research, this book takes a unique, practical approach for efficiently solving single-input and single-output (SISO) and multiple-input and multiple-output (MIMO) control system design issues for quantitative performance indices. With much of the material classroom-tested, the text is suitable for advanced undergraduate and graduate students in engineering, beginning researchers in robust control, and more seasoned engineers wanting to learn new design techniques.