Advanced Control of Chemical Processes 1994 PDF Download
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Author: D. Bonvin
Publisher: Elsevier
ISBN: 1483297594
Category : Technology & Engineering
Languages : en
Pages : 561
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Book Description
This publication brings together the latest research findings in the key area of chemical process control; including dynamic modelling and simulation - modelling and model validation for application in linear and nonlinear model-based control: nonlinear model-based predictive control and optimization - to facilitate constrained real-time optimization of chemical processes; statistical control techniques - major developments in the statistical interpretation of measured data to guide future research; knowledge-based v model-based control - the integration of theoretical aspects of control and optimization theory with more recent developments in artificial intelligence and computer science.
Author: D. Bonvin
Publisher: Elsevier
ISBN: 1483297594
Category : Technology & Engineering
Languages : en
Pages : 561
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Book Description
This publication brings together the latest research findings in the key area of chemical process control; including dynamic modelling and simulation - modelling and model validation for application in linear and nonlinear model-based control: nonlinear model-based predictive control and optimization - to facilitate constrained real-time optimization of chemical processes; statistical control techniques - major developments in the statistical interpretation of measured data to guide future research; knowledge-based v model-based control - the integration of theoretical aspects of control and optimization theory with more recent developments in artificial intelligence and computer science.
Author:
Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 746
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Book Description
Author: K. Najim
Publisher: Elsevier
ISBN: 1483298973
Category : Technology & Engineering
Languages : en
Pages : 313
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Book Description
This volume contains 40 papers which describe the recent developments in advanced control of chemical processes and related industries. The topics of adaptive control, model-based control and neural networks are covered by 3 survey papers. New adaptive, statistical, model-based control and artificial intelligence techniques and their applications are detailed in several papers. The problem of implementation of control algorithms on a digital computer is also considered.
Author: Zhiwei Gao
Publisher: MDPI
ISBN: 3036506888
Category : Science
Languages : en
Pages : 514
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Book Description
The book documents 25 papers collected from the Special Issue “Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes”, highlighting recent research trends in complex industrial processes. The book aims to stimulate the research field and be of benefit to readers from both academic institutes and industrial sectors.
Author: Jin-Hyuk Kim
Publisher:
ISBN: 9783036518152
Category :
Languages : en
Pages : 539
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Book Description
The demand for computational fluid dynamics (CFD)-based numerical techniques is increasing rapidly with the development of the computing power system. These advanced CFD techniques are applicable to various issues in the industrial engineering fields and especially contribute to the design of fluid machinery and fluid devices, which have very complicated unsteady flow phenomena and physics. In other words, to aid the rapid development of CFD techniques, the performances of fluid machinery and fluid devices with complicated unsteady flows have been enhanced significantly. In addition, many persistently troublesome problems of fluid machinery and fluid devices such as flow instability, rotor-stator interaction, surging, cavitation, vibration, and noise are solved clearly using advanced CFD techniques.This Special Issue on “CFD-Based Research and Applications for Fluid Machinery and Fluid Devices” aims to present recent novel research trends based on advanced CFD techniques for fluid machinery and fluid devices. The following topics, among others, are included in this issue:- CFD techniques and applications in fluid machinery and fluid devices;- Unsteady and transient phenomena in fluid machinery and fluid devices;- Pumps, fans, compressors, hydraulic turbines, pump turbines, valves, etc.
Author: Paul Serban Agachi
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110789736
Category : Technology & Engineering
Languages : en
Pages : 440
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Book Description
As a mature topic in chemical engineering, the book provides methods, problems and tools used in process control engineering. It discusses: process knowledge, sensor system technology, actuators, communication technology, and logistics, design and construction of control systems and their operation. The knowledge goes beyond the traditional process engineering field by applying the same principles, to biomedical processes, energy production and management of environmental issues. The book explains all the determinations in the "chemical systems" or "process systems", starting from the beginning of the processes, going through the intricate interdependency of the process stages, analyzing the hardware components of a control system and ending with the design of an appropriate control system for a process parameter or a whole process. The book is first addressed to the students and graduates of the departments of Chemical or Process Engineering. Second, to the chemical or process engineers in all industries or research and development centers, because they will notice the resemblance in approach from the system and control point of view, between different fields which might seem far from each other, but share the same control philosophy.
Author: John D. Hedengren
Publisher: MDPI
ISBN: 3038428051
Category : Technology & Engineering
Languages : en
Pages : 175
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Book Description
This book is a printed edition of the Special Issue "Combined Scheduling and Control" that was published in Processes
Author: Frank Allgöwer
Publisher:
ISBN: 9780080441443
Category : Chemical process control
Languages : en
Pages : 965
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Book Description
Author: Paweł D. Domański
Publisher: Springer Nature
ISBN: 3030235939
Category : Technology & Engineering
Languages : en
Pages : 373
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Book Description
This book presents a comprehensive review of currently available Control Performance Assessment methods. It covers a broad range of classical and modern methods, with a main focus on assessment practice, and is intended to help practitioners learn and properly perform control assessment in the industrial reality. Further, it offers an educational guide for control engineers, who are currently in high demand in the industry. The book consists of three main parts. Firstly, a comprehensive review of available approaches is presented and discussed. The classical canon methods are extended with a discussion of nonlinear and complex alternative measures using non-Gaussian statistics, persistence and fractional calculations. Secondly, the methods’ applicability aspects are visualized with the aid of computer simulations, covering the most popular control philosophies used in the process industry. Lastly, a critical review of the methods discussed, on the basis of real-world industrial examples, rounds out the coverage.
Author: Biao Huang
Publisher: Springer Science & Business Media
ISBN: 1848002327
Category : Technology & Engineering
Languages : en
Pages : 249
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Book Description
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 an explicit model form and both require this three-step design procedure. Can this design procedure be simplified? Can an explicit model be avoided? With these questions in mind, the authors eliminate the first and second step of the above design procedure, a “data-driven” approach in the sense that no traditional parametric models are used; hence, the intermediate subspace matrices, which are obtained from the process data and otherwise identified as a first step in the subspace identification methods, are used directly for the designs. Without using an explicit model, the design procedure is simplified and the modelling error caused by parameterization is eliminated.
