Process Dynamics Modeling And Control

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Process Dynamics Modeling And Control

Author : Babatunde Ayodeji Ogunnaike
ISBN : 0195091191
Genre : Technology & Engineering
File Size : 45.21 MB
Format : PDF, Kindle
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This text offers a modern view of process control in the context of today's technology. It provides the standard material in a coherent presentation and uses a notation that is more consistent with the research literature in process control. Topics that are unique include a unified approach to model representations, process model formation and process identification, multivariable control, statistical quality control, and model-based control. This book is designed to be used as an introductory text for undergraduate courses in process dynamics and control. In addition to chemical engineering courses, the text would also be suitable for such courses taught in mechanical, nuclear, industrial, and metallurgical engineering departments. The material is organized so that modern concepts are presented to the student but details of the most advanced material are left to later chapters. The text material has been developed, refined, and classroom tested over the last 10-15 years at the University of Wisconsin and more recently at the University of Delaware. As part of the course at Wisconsin, a laboratory has been developed to allow the students hands-on experience with measurement instruments, real time computers, and experimental process dynamics and control problems.
Category: Technology & Engineering
Process Dynamics, Modeling, and Control
Language: en
Pages: 1260
Authors: Babatunde Ayodeji Ogunnaike, Willis Harmon Ray
Categories: Technology & Engineering
Type: BOOK - Published: 1994 - Publisher: Topics in Chemical Engineering

This text offers a modern view of process control in the context of today's technology. It provides the standard material in a coherent presentation and uses a notation that is more consistent with the research literature in process control. Topics that are unique include a unified approach to model representations,
Process Dynamics and Control
Language: en
Pages: 560
Authors: Brian Roffel, Ben Betlem
Categories: Technology & Engineering
Type: BOOK - Published: 2007-01-11 - Publisher: John Wiley & Sons

Offering a different approach to other textbooks in the area, this book is a comprehensive introduction to the subject divided in three broad parts. The first part deals with building physical models, the second part with developing empirical models and the final part discusses developing process control solutions. Theory is
Instructor's Manual for Process Dynamics, Modeling, and Control
Language: en
Pages: 444
Authors: Babatunde A. Ogunnaike
Categories: Chemical process control
Type: BOOK - Published: 1997 - Publisher: Oxford University Press, USA

The Instructor's Manual contains worked out solutions to 230 of the 256 problems in Ogunnaike and Ray, Process Dynamics, Modeling, and Control (published November 1994). It is to be distributed gratis to adopters of the text and to qualified professors who are seriously considering adopting the text and have requested
Understanding Process Dynamics and Control
Language: en
Pages:
Authors: Costas Kravaris, Ioannis K. Kookos
Categories: Technology & Engineering
Type: BOOK - Published: 2021-03-31 - Publisher: Cambridge University Press

Presenting a fresh look at process control, this new text demonstrates state-space approach shown in parallel with the traditional approach to explain the strategies used in industry today. Modern time-domain and traditional transform-domain methods are integrated throughout and explain the advantages and limitations of each approach; the fundamental theoretical concepts
Dynamic Modeling, Predictive Control and Performance Monitoring
Language: en
Pages: 242
Authors: Biao Huang, Ramesh Kadali
Categories: Technology & Engineering
Type: BOOK - Published: 2008-04-11 - Publisher: Springer Science & Business Media

A typical design procedure for model predictive control or control performance monitoring consists of: 1. identification of a parametric or nonparametric model; 2. derivation of the output predictor from the model; 3. design of the control law or calculation of performance indices according to the predictor. Both design problems need