Process Control: Designing Processes and Control Systems for Dynamic Performance

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Process Control: Designing Processes and Control Systems for Dynamic Performance Overview

This is a revision of a well received new book for what is a required course in Chemical Engineering. The author uniquely emphasizes practices in industry so that students learn what aspects of plant design & control are critical. This book identifies process as the central factor in plant automation and develops theory and practice to present the parameters of good dynamic performance. Approaches are presented for measurement selection, process/modification, control structure design and algorithm tuning to achieve good performance over a range of operating conditions. The sequence of topics (modeling, single-loop control and tuning, enhancements, multiloop control, and design) builds the students' ability to analyze increasingly complex systems, culminating in multiloop control design.

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• Plant Design and Economics for Chemical Engineers
• Product and Process Design Principles: Synthesis, Analysis and Design
• Product and Process Design Principles: Synthesis, Analysis, and Evaluation
• Chemical Reaction Engineering, 3rd Edition
• Bioprocess Engineering: Basic Concepts (2nd Edition)

Reliable Methods for Computer Simulation, Volume 33: Error Control and Posteriori Estimates (Studies in Mathematics and its Applications)

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Reliable Methods for Computer Simulation, Volume 33: Error Control and Posteriori Estimates (Studies in Mathematics and its Applications) Overview

Recent decades have seen a very rapid success in developing numerical methods based on explicit control over approximation errors. It may be said that nowadays a new direction is forming in numerical analysis, the main goal of which is to develop methods ofreliable computations. In general, a reliable numerical method must solve two basic problems: (a) generate a sequence of approximations that converges to a solution and (b) verify the accuracy of these approximations. A computer code for such a method must consist of two respective blocks: solver and checker.

In this book, we are chiefly concerned with the problem (b) and try to present the main approaches developed for a posteriori error estimation in various problems.

The authors try to retain a rigorous mathematical style, however, proofs are constructive whenever possible and additional mathematical knowledge is presented when necessary. The book contains a number of new mathematical results and lists a posteriori error estimation methods that have been developed in the very recent time.

· computable bounds of approximation errors
· checking algorithms
· iteration processes
· finite element methods
· elliptic type problems
· nonlinear variational problems
· variational inequalities

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Application of Neural Networks to Modelling and Control

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Application of Neural Networks to Modelling and Control Overview

Co-published with the Institute of Measurement and Control, this book presents some of the latest developments in the field of neural networks as applied to modelling and control. The field of control spans a wide range of applications from scheduling of regulators to control movement in manufacturing processes to the requirement for precision control of very fast processes in, for example, the aeronautics industry. In the area of control of dynamic systems in manufacturing and processing industries, neural networks have found a niche and this book provides information of these developments. Many of the contributors are well known in this area and this book should prove useful to all those involved in neural networks and their industrial applications. This book should be of interest to academic and industrial researchers and postgraduate researchers.

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Applied Predictive Control (Advances in Industrial Control)

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Applied Predictive Control (Advances in Industrial Control) Overview

This focused treatment includes the fundamentals and some state-of-the-art developments in the field of predictive control. A substantial part of the book addresses application issues in predictive control, providing several interesting case studies for more application-oriented readers.

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Practical Grey-box Process Identification: Theory and Applications (Advances in Industrial Control)

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Practical Grey-box Process Identification: Theory and Applications (Advances in Industrial Control) Overview

This book reviews the theoretical fundamentals of grey-box identification and puts the spotlight on MoCaVa, a MATLAB-compatible software tool, for facilitating the procedure of effective grey-box identification. It demonstrates the application of MoCaVa using two case studies drawn from the paper and steel industries. In addition, the book answers common questions which will help in building accurate models for systems with unknown inputs.

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Modelling, Analysis and Design of Hybrid Systems (Lecture Notes in Control and Information Sciences)

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Modelling, Analysis and Design of Hybrid Systems (Lecture Notes in Control and Information Sciences) Feature

• ISBN13: 9783540438120
• Condition: USED - Like New
• Notes: BUY WITH CONFIDENCE, Over one million books sold! 98% Positive feedback. Compare our books, prices and service to the competition. 100% Satisfaction Guaranteed

Modelling, Analysis and Design of Hybrid Systems (Lecture Notes in Control and Information Sciences) Overview

Summarizes the results of a priority program launched by Deutsche Forschungsgemeinschaft (DFG) called KONDISK. Softcover.

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Optimal Control of Hydrosystems

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Optimal Control of Hydrosystems Overview

This comprehensive reference/text combines the hydraulic simulation of physical processes with mathematical programming and differential dynamic programming techniques to ensure the optimization of hydrosystems.

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Applications of Intelligent Control to Engineering Systems: In Honour of Dr. G. J. Vachtsevanos (Intelligent Systems, Control and Automation: Science and Engineering)

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Applications of Intelligent Control to Engineering Systems: In Honour of Dr. G. J. Vachtsevanos (Intelligent Systems, Control and Automation: Science and Engineering) Overview

This book represents the work of top scientists in the field of intelligent control and its applications, prognostics, diagnostics, condition based maintenance and unmanned systems. The work presents an approach to solving engineering problems related to manufacturing, automation, and especially unmanned systems and describes recent advances in the disciplines mentioned above. The main goal of the book is to demonstrate how concepts and ideas from diverse disciplines are merged within a common framework applied to the solution of complex problems.

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Control Tutorials for MATLAB and Simulink: A Web-Based Approach

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These tutorials help you learn how to use Matlab and Simulink for the analysis and design of automatic control systems. They cover the basics of Matlab and Simulink and the most common classical control design techniques (PID, root locus, and frequency response), as well as some modern (state-space) control design techniques and digital control.

If you are looking for an interactive way to learn about Matlab and Simulink in Control applications, this book and the companion CD will be most useful for you.

I am a professional practitioner of Process Measurement and Control. I have been working for most than 16 years as an Instrumentation, Automation, and Process Safety an Control Engineer for the Oil & Gas Industry. I found this book to be an excellent learning tool for the professional, and I bet that students will also find it useful.

Control Tutorials for MATLAB and Simulink: A Web-Based Approach Overview

* MATLAB(r) is an interactive program for numerical computation and data visualization that has become an essential tool for control engineers. The Control Tutorials for MATLAB and Simulink (r) included in this package provide a uniquely friendly and quick way to learn how to use MATLAB. The tutorials focus on analysis and design of automatic control systems, covering the basics of MATLAB, the most common classical control design techniques, and some modern (state-space) control design. * Using web-browser technology, the Control Tutorials allow students to learn MATLAB and Simulink by seeing and doing, practically eliminating the frustration of having to decipher a new software package. Because the Control Tutorials are on screen simultaneously with the software application being taught, they streamline and focus the learning experience by eliminating the distracting process of having to switch attention back and forth between a textbook and the computer screen.

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Optimal Control of Complex Structures

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Optimal Control of Complex Structures Overview

This volume contains original articles by world renowned experts in the Fields of optimal control of partial differential equations, shape optimization, numerical methods for partial differential equations and fluid dynamics, all of whom have contributed to the analysis and solution of many of the problems discussed.

The collection provides a state-of-the-art overview of the most challenging and exciting recent developments in the field. It is geared towards postgraduate students and researchers dealing with the theoretical and practical aspects of a wide variety of high technology problems in applied mathematics, fluid control, optimal design, and computer modelling.

Interest in the area of control of systems defined by partial differential Equations has increased strongly in recent years. A major reason has been the requirement of these systems for sensible continuum mechanical modelling and optimization or control techniques which account for typical physical phenomena. Particular examples of problems on which substantial progress has been made are the control and stabilization of mechatronic structures, the control of growth of thin films and crystals, the control of Laser and semi-conductor devices, and shape optimization problems for turbomachine blades, shells, smart materials and microdiffractive optics. This volume contains original articles by world reknowned experts in the fields of optimal control of partial differential equations, shape optimization, numerical methods for partial differential equations and fluid dynamics, all of whom have contributed to the analysis and solution of many of the problems discussed. The collection provides a state-of-the-art overview of the most challenging and exciting recent developments in the field. It is geared towards postgraduate students and researchers dealing with the theoretical and practical aspects of a wide variety of high technology problems in applied mathematics, fluid control, optimal design, and computer modelling.

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