Process Systems Analysis and Control (3rd Edition)

Donald R. Coughanowr and Steven E. LeBlanc, "Process Systems Analysis and Control (3rd Edition)" 
M g H | 2008 | ISBN: 007339789X | 630 pages | PDF | 5 MB

Process Systems Analysis and Control, third edition retains the clarity of presentation for which this book is well known. It is an ideal teaching and learning tool for a semester-long undergraduate chemical engineering course in process dynamics and control. It avoids the encyclopedic approach of many other texts on this topic. Computer examples using MATLAB® and Simulink® have been introduced throughout the book to supplement and enhance standard hand-solved examples. These packages allow the easy construction of block diagrams and quick analysis of control concepts to enable the student to explore "what-if" type problems that would be much more difficult and time consuming by hand.

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Process Optimization

Author : Enrique del Castillo Year : 2007

This book is intended as a textbook for a second course in experimental optimization techniques for industrial production processes and other “noisy” systems where the main emphasis is process optimization. This includes courses in “Response Surface Methods” and related topics. The book has outgrown from class notes of a graduate course that I have given for the past 10 years to Industrial Engineering and Operations Research students at Penn State University and at the University of Texas at Arlington. Typically, students come to this course with some background in either Design of Experiments (DOE) or Linear Regression. Many students also come to the course with a background in optimization methods. After teaching this course for several years based on other DOE and Response Surface Methods (RSM) books, it became clear the need for a book more suited to graduate engineering students, who learn about a wide variety of optimization techniques in other courses yet are somewhat disenchanted because there is no apparent connection between those optimization techniques and DOE/RSM.

For a person with a more traditional Statistics or Quality Engineering background, the present book will serve as a reference to techniques that complement and extend basic process optimization techniques from DOE and RSM, including statistical issues that arise in process optimization, Bayesian methods for process optimization, and an introduction to Stochastic Approximation, Kriging methods and “computer experiment” techniques. For a person with an Operations Research background which includes mathematical programming techniques, the present book will not only serve as a guide to DOE and RSM, but will show how important statistical considerations need to be taken into account while optimizing a noisy process.

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Engineering Complex Systems

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Systems Engineering: A 21st Century Systems Methodology

Systems Engineering: A 21st Century Systems Methodology
Wiley | 2008 | ISBN: 0470058560, 0470518758 | 528 pages | PDF | 7,1 MB

This book conceives, presents and exemplifies a contemporary, general systems methodology that is straightforward and accessible, providing guidance in practical application, as well as explaining concept and theory. The book is presented both as a text for students, with topic assignments, and as a reference for practitioners, through case studies.

Utilizing recent research and developments in systems science, methods and tools, Hitchins has developed a unified systems methodology, employable when tackling virtually any problem, from the small technological, to the global socioeconomic. Founded in the powerful systems approach', Hitchins' systems methodology brings together both soft and hard system scientific methods into one methodological framework. This can be applied when addressing complex problems, issues and situations, and for creating robust, provable solutions, resolutions and dissolutions to those problems supposing such to exist.

                          

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Engineering Mega-Systems

Engineering Mega-Systems: The Challenge of Systems Engineering in the Information Age by Renee Stevens

Auerbach Publications | 2010 | ISBN: 1420076663 | 254 pages | PDF | 14 MB

With their ability to cross traditional boundaries and achieve a level of functionality greater than their component elements, mega-systems have helped corporations and government organizations around the world resolve complex challenges that they otherwise couldn’t address with stand-alone systems. Engineering Mega-Systems: The Challenge of Systems Engineering in the Information Age provides a clear understanding of the engineering of this class of systems—a process that demands consideration of increasing program scale and the rapid change of underlying technologies.

Written by Renee Stevens, a Senior Principal Engineer at The MITRE Corporation with decades of experience analyzing, engineering, and acquiring large-scale systems for the U.S. Department of Defense and other government agencies, this book explains how the engineering of mega-systems is inherently different from that of large-scale monolithic systems. It supplies the vocabulary and framework needed to explore the issues relevant to mega-systems. This framework then evolves into the Profiler diagnostic tool that helps?you understand the nature and context of the system at hand and, on that basis, select the most appropriate processes, tools, and techniques. Stevens examines commercial and government applications of mega-systems to provide insight into the contemporary challenges of engineering these systems in three critical dimensions: engineering processes, management processes, and the larger context in which these systems are developed and deployed. Complete with two case studies in engineering mega-systems that illustrate valuable lessons learned and highlight emerging practices, this book supplies the understanding and the tools needed to begin engineering, characterizing, and acquiring mega-systems across multiple dimensions.

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