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INTRODUCTION TO PROCESS CONTROL: ANALYSIS, MATHEMATICAL MODELING, CONTROL AND OPTIMIZATION

Skormin, Victor A.

Edit� par Springer, 2016

ISBN 10 : 331942257X ISBN 13 : 9783319422572

Neuf Couverture rigide

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INTRODUCTION TO PROCESS CONTROL: ANALYSIS, MATHEMATICAL MODELING, CONTROL AND OPTIMIZATION

Skormin, Victor A.

Edit� par Springer, 2016

ISBN 10 : 331942257X ISBN 13 : 9783319422572

Neuf Couverture rigide

Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne

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Introduction to Process Control: Analysis, Mathematical Modeling, Control and Optimization (Springer Texts in Business and Economics)

Skormin, Victor A.

Edit� par Springer, 2016

ISBN 10 : 331942257X ISBN 13 : 9783319422572

Neuf Couverture rigide

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Introduction to Process Control: Analysis, Mathematical Modeling, Control and Optimization (Springer Texts in Business and Economics)

Skormin, Victor A.

Edit� par Springer, 2016

ISBN 10 : 331942257X ISBN 13 : 9783319422572

Neuf Couverture rigide

Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni

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Introduction to Process Control

Victor A. Skormin

Edit� par Springer International Publishing Okt 2016, 2016

ISBN 10 : 331942257X ISBN 13 : 9783319422572

Neuf Couverture rigide

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook is intended for anintroductorygraduate level on process control, taught in most engineering curricula. It focuses on the statistical techniques and methods of control and system optimization needed for the mathematical modeling, analysis, simulation, control and optimization of multivariable manufacturing processes. In four sections, it covers:Relevant mathematical methods, including random events, variables and processes, and their characteristics; estimation and confidence intervals; Bayes applications; correlation and regression analysis; statistical cluster analysis; and singular value decomposition for classification applications. Mathematical description of manufacturing processes, including static and dynamic models; model validation; confidence intervals for model parameters; principal component analysis; conventional and recursive least squares procedures; nonlinear least squares; and continuous-time, discrete-time, s-domain and Z-domain models. Control of manufacturing processes, including transfer function/transfer matrix models; state-variable models; methods of discrete-time classical control; state variable discrete-time control; state observers/estimators in control systems; methods of decoupling control; and methods of adaptive control. Methods and applications of system optimization, including unconstrained and constrained optimization; analytical and numerical optimization procedures; use of penalty functions; methods of linear programming; gradient methods; direct search methods; genetic optimization; methods and applications of dynamic programming; and applications to estimation, design, control, and planning. Each section of the book will include end-of-chapter exercises, and the book will be suitable for any systems, electrical, chemical, or industrial engineering program, as it focuses on the processes themselves, and not on the product being manufactured. Students will be able to obtain a mathematical model of any manufacturing process, to design a computer-based control system for a particular continuous manufacturing process, and be able to formulate an engineering problem in terms of optimization, as well as the ability to choose and apply the appropriate optimization technique. 272 pp. Englisch. N� de r�f. du vendeur 9783319422572

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Introduction to Process Control : Analysis, Mathematical Modeling, Control and Optimization

Victor A. Skormin

Edit� par Springer International Publishing, 2016

ISBN 10 : 331942257X ISBN 13 : 9783319422572

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook is intended for anintroductorygraduate level on process control, taught in most engineering curricula. It focuses on the statistical techniques and methods of control and system optimization needed for the mathematical modeling, analysis, simulation, control and optimization of multivariable manufacturing processes. In four sections, it covers:Relevant mathematical methods, including random events, variables and processes, and their characteristics; estimation and confidence intervals; Bayes applications; correlation and regression analysis; statistical cluster analysis; and singular value decomposition for classification applications. Mathematical description of manufacturing processes, including static and dynamic models; model validation; confidence intervals for model parameters; principal component analysis; conventional and recursive least squares procedures; nonlinear least squares; and continuous-time, discrete-time, s-domain and Z-domain models. Control of manufacturing processes, including transfer function/transfer matrix models; state-variable models; methods of discrete-time classical control; state variable discrete-time control; state observers/estimators in control systems; methods of decoupling control; and methods of adaptive control. Methods and applications of system optimization, including unconstrained and constrained optimization; analytical and numerical optimization procedures; use of penalty functions; methods of linear programming; gradient methods; direct search methods; genetic optimization; methods and applications of dynamic programming; and applications to estimation, design, control, and planning. Each section of the book will include end-of-chapter exercises, and the book will be suitable for any systems, electrical, chemical, or industrial engineering program, as it focuses on the processes themselves, and not on the product being manufactured. Students will be able to obtain a mathematical model of any manufacturing process, to design a computer-based control system for a particular continuous manufacturing process, and be able to formulate an engineering problem in terms of optimization, as well as the ability to choose and apply the appropriate optimization technique. N� de r�f. du vendeur 9783319422572

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Introduction to Process Control

Victor A. Skormin

Edit� par Springer International Publishing, 2016

ISBN 10 : 331942257X ISBN 13 : 9783319422572

Neuf Couverture rigide

impression � la demande

Vendeur : moluna, Greven, Allemagne

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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Suitable for graduate-level courses on any manufacturing processAuthor is a prominent teacher/researcher/consultant in the fieldIncludes end-of-chapter problemsDr. Victor Skormin, Professor of Electrical a. N� de r�f. du vendeur 122061153

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