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Introduction to process control[electronic resource] :analysis, mathematical modeling, control and optimization /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	658.40301
書名/作者:	Introduction to process control : analysis, mathematical modeling, control and optimization // by Victor A. Skormin.
作者:	Skormin, Victor A.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xvii, 254 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Business.
標題:	Operations research.
標題:	Decision making.
標題:	Management information systems.
標題:	Industrial management.
標題:	Industrial engineering.
標題:	Production engineering.
標題:	Business and Management.
標題:	Operation Research/Decision Theory.
標題:	Business Process Management.
標題:	Industrial and Production Engineering.
ISBN:	9783319422589
ISBN:	9783319422572
內容註:	Statistical Methods and their Applications -- Mathematical Description of Manufacturing Processes -- Computer Control of Manufacturing Processes -- Methods and Models of Optimazation.
摘要、提要註:	This textbook is intended for an introductory graduate 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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-42258-9

Introduction to process control[electronic resource] :analysis, mathematical modeling, control and optimization /
Skormin, Victor A.

Introduction to process controlanalysis, mathematical modeling, control and optimization /[electronic resource] :by Victor A. Skormin. - Cham :Springer International Publishing :2016. - xvii, 254 p. :ill., digital ;24 cm. - Springer texts in business and economics,2192-4333. - Springer texts in business and economics..

Statistical Methods and their Applications -- Mathematical Description of Manufacturing Processes -- Computer Control of Manufacturing Processes -- Methods and Models of Optimazation.

This textbook is intended for an introductory graduate 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.

ISBN: 9783319422589

Standard No.: 10.1007/978-3-319-42258-9doiSubjects--Topical Terms:

172074
Business.

LC Class. No.: HD30.23

Dewey Class. No.: 658.40301

Introduction to process control[electronic resource] :analysis, mathematical modeling, control and optimization /
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