Introduction to Process Control

Analysis, Mathematical Modeling, Control and Optimization

Business & Finance, Management & Leadership, Operations Research, Industries & Professions, Information Management
Cover of the book Introduction to Process Control by Victor A. Skormin, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Victor A. Skormin ISBN: 9783319422589
Publisher: Springer International Publishing Publication: October 19, 2016
Imprint: Springer Language: English
Author: Victor A. Skormin
ISBN: 9783319422589
Publisher: Springer International Publishing
Publication: October 19, 2016
Imprint: Springer
Language: English

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:

  1.  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.
  2. 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.
  3. 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.
  4. 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

  1.  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.
  2. 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.
  3. 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.
  4. 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.

More books from Springer International Publishing

Cover of the book International Trade Policy and Class Dynamics in South Africa by Victor A. Skormin
Cover of the book Schengen Visa Implementation and Transnational Policymaking by Victor A. Skormin
Cover of the book From Tarde to Deleuze and Foucault by Victor A. Skormin
Cover of the book Energy Law and Economics by Victor A. Skormin
Cover of the book Trauma Team Dynamics by Victor A. Skormin
Cover of the book Smart Grid Inspired Future Technologies by Victor A. Skormin
Cover of the book Nanotechnologies for Environmental Remediation by Victor A. Skormin
Cover of the book London on Film by Victor A. Skormin
Cover of the book Bioinspired Approaches for Human-Centric Technologies by Victor A. Skormin
Cover of the book Graph Transformation by Victor A. Skormin
Cover of the book Biologically Inspired Cognitive Architectures 2018 by Victor A. Skormin
Cover of the book Zika Virus Infection by Victor A. Skormin
Cover of the book Reviving the Dying Giant by Victor A. Skormin
Cover of the book Hacking Health by Victor A. Skormin
Cover of the book HCI International 2019 - Posters by Victor A. Skormin
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy