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The Second Shell Process Control Workshop

Author: David M. Prett
Publisher: Elsevier
ISBN: 1483102246
Size: 54.88 MB
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The Second Shell Process Control Workshop covers the proceedings of a workshop of the same name, held in Houston, Texas on December 12-16, 1988. The said workshop seeks to improve the communication process between academic researchers, industrial researchers, and the engineering community in the field of process control, and in turn improve understanding of the nature of the control problems. The book covers topics such as automatic tuning and adaptive control; an operator control theory approach to the shell standard control problem; discrete time-adaptive predictive control; and the designing of a control system. Also included are topics such as optimal control and model identification; fundamental process control; statistical process control; and interfaces with process control. The text is recommended for researchers and practitioners in the field of engineering who would like to know more about process control and modeling.

Process Control

Author: Jean-Pierre Corriou
Publisher: Springer
ISBN: 3319611437
Size: 73.22 MB
Format: PDF, Docs
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This reference book can be read at different levels, making it a powerful source of information. It presents most of the aspects of control that can help anyone to have a synthetic view of control theory and possible applications, especially concerning process engineering.

Application Of Artificial Intelligence In Process Control

Author: L. Boullart
Publisher: Elsevier
ISBN: 008091263X
Size: 65.54 MB
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This book is the result of a united effort of six European universities to create an overall course on the appplication of artificial intelligence (AI) in process control. The book includes an introduction to key areas including; knowledge representation, expert, logic, fuzzy logic, neural network, and object oriented-based approaches in AI. Part two covers the application to control engineering, part three: Real-Time Issues, part four: CAD Systems and Expert Systems, part five: Intelligent Control and part six: Supervisory Control, Monitoring and Optimization.

Global Sourcing Of Information Technology And Business Processes

Author: Ilan Oshri
Publisher: Springer Science & Business Media
ISBN: 3642154166
Size: 48.59 MB
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This edited book is intended for use by students, academics and practitioners who take interest in outsourcing and offshoring of information technology and business pr- esses. The book offers a review of the key topics in outsourcing and offshoring, po- lated with practical frameworks that serve as a tool kit to students and managers. The range of topics covered here is wide and diverse. The sourcing models available to client firms are discussed in great depth and the decision-making processes and c- siderations regarding the sourcing model and sourcing settings are examined. Vendor capabilities as well as client capabilities are studied in depth and links are offered to the various sourcing models. Issues pertaining to knowledge and expertise are also discussed throughout the book. Last but not least, the book examines current and - ture trends in outsourcing and offshoring, paying particular attention to the role that CIOs will play in shaping their sourcing strategies. The book is based on a vast empirical base brought together through years of - tensive research by the leading researchers of outsourcing and offshoring. June 2010 Ilan Oshri Julia Kotlarsky Organization Global Sourcing Workshop is an annual gathering of academics and practitioners. Program Committee Workshop Chair Leslie Willcocks (London School of Economics, London, UK) Workshop Committee Julia Kotlarsky (Warwick Business School, Coventry, UK) Ilan Oshri (Rotterdam School of Management, Rotterdam, The Netherlands) Joseph Rottman (St. Louis University, St.

Intelligent Systems In Process Engineering Part Ii Paradigms From Process Operations

Author:
Publisher: Academic Press
ISBN: 9780080565699
Size: 29.90 MB
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Volumes 21 and 22 of Advances in Chemical Engineering contain ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from operations research, estimation andcontrol theory, and statistics. Each paradigm has been constructed around an engineering problem, e.g. product design, process design, process operations monitoring, planning, scheduling, or control. Along with the engineering problem, each paradigm advances a specific methodological theme from AI, such as: modeling languages; automation in design; symbolic and quantitative reasoning; inductive and deductive reasoning; searching spaces of discrete solutions; non-monotonic reasoning; analogical learning;empirical learning through neural networks; reasoning in time; and logic in numerical computing. Together the ten paradigms of the two volumes indicate how computers can expand the scope, type, and amount of knowledge that can be articulated and used in solving a broad range of engineering problems. Sets the foundations for the development of computer-aided tools for solving a number of distinct engineering problems Exposes the reader to a variety of AI techniques in automatic modeling, searching, reasoning, and learning The product of ten-years experience in integrating AI into process engineering Offers expanded and realistic formulations of real-world problems