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Books > Professional & Technical > Mechanical engineering & materials > Production engineering
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Introduction to Process Control - Analysis, Mathematical Modeling, Control and Optimization (Hardcover, 1st ed. 2017)
Loot Price: R2,726
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Introduction to Process Control - Analysis, Mathematical Modeling, Control and Optimization (Hardcover, 1st ed. 2017)
Series: Springer Texts in Business and Economics
Expected to ship within 10 - 15 working days
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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.
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