Nonlinear Model Reduction And Control Of Multiple Time Scale Chemical Processes

Author : Michael Baldea,Prodromos Daoutidis
Publisher : Cambridge University Press
Page : 273 pages
File Size : 43,8 Mb
Release : 2012-08-02
Category : Technology & Engineering
ISBN : 9781139535984

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Dynamics and Nonlinear Control of Integrated Process Systems by Michael Baldea,Prodromos Daoutidis Pdf

Presenting a systematic model reduction and hierarchical controller design framework for broad classes of integrated process systems encountered in practice, this book first studies process systems with large material recycle and/or with small purge streams, followed by systems with energy integration. Step-by-step model reduction procedures are developed to derive nonlinear reduced models of the dynamics in each time scale. Hierarchical control architectures consisting of coordinated levels of control action in different time scales are proposed for each class of process systems considered to enforce stability, tracking performance and disturbance rejection. Numerous process applications are discussed in detail to illustrate the application of the methods and their potential to improve process operations. MATLAB codes are also presented to guide further application of the methods developed and facilitate practical implementations.

Author : Nishith Pramod Vora
Publisher : Unknown
Page : 432 pages
File Size : 54,6 Mb
Release : 2000
Category : Electronic
ISBN : MINN:31951P00731303P

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Nonlinear Model Reduction and Control of Multiple Time Scale Chemical Processes by Nishith Pramod Vora Pdf

Author : Achim Ilchmann,Timo Reis
Publisher : Springer
Page : 343 pages
File Size : 53,9 Mb
Release : 2014-12-04
Category : Mathematics
ISBN : 9783319110509

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Surveys in Differential-Algebraic Equations II by Achim Ilchmann,Timo Reis Pdf

The present volume comprises survey articles on various fields of Differential-Algebraic Equations (DAEs), which have widespread applications in controlled dynamical systems, especially in mechanical and electrical engineering and a strong relation to (ordinary) differential equations. The individual chapters provide reviews, presentations of the current state of research and new concepts in - Observers for DAEs - DAEs in chemical processes - Optimal control of DAEs - DAEs from a functional-analytic viewpoint - Algebraic methods for DAEs The results are presented in an accessible style, making this book suitable not only for active researchers but also for graduate students (with a good knowledge of the basic principles of DAEs) for self-study.

Author : Alexander N. Gorban,Nikolas Kazantzis,I. G. Kevrekidis,Hans Christian Öttinger,Konstantinos Theodoropoulos
Publisher : Springer Science & Business Media
Page : 554 pages
File Size : 41,5 Mb
Release : 2006-09-22
Category : Science
ISBN : 9783540358886

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Model Reduction and Coarse-Graining Approaches for Multiscale Phenomena by Alexander N. Gorban,Nikolas Kazantzis,I. G. Kevrekidis,Hans Christian Öttinger,Konstantinos Theodoropoulos Pdf

Model reduction and coarse-graining are important in many areas of science and engineering. How does a system with many degrees of freedom become one with fewer? How can a reversible micro-description be adapted to the dissipative macroscopic model? These crucial questions, as well as many other related problems, are discussed in this book. All contributions are by experts whose specialities span a wide range of fields within science and engineering.

Author : Paul Serban Agachi,Zoltán K. Nagy,Mircea Vasile Cristea,Árpád Imre-Lucaci
Publisher : John Wiley & Sons
Page : 290 pages
File Size : 46,9 Mb
Release : 2007-09-24
Category : Technology & Engineering
ISBN : 9783527609222

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Model Based Control by Paul Serban Agachi,Zoltán K. Nagy,Mircea Vasile Cristea,Árpád Imre-Lucaci Pdf

Filling a gap in the literature for a practical approach to the topic, this book is unique in including a whole section of case studies presenting a wide range of applications from polymerization reactors and bioreactors, to distillation column and complex fluid catalytic cracking units. A section of general tuning guidelines of MPC is also present.These thus aid readers in facilitating the implementation of MPC in process engineering and automation. At the same time many theoretical, computational and implementation aspects of model-based control are explained, with a look at both linear and nonlinear model predictive control. Each chapter presents details related to the modeling of the process as well as the implementation of different model-based control approaches, and there is also a discussion of both the dynamic behaviour and the economics of industrial processes and plants. The book is unique in the broad coverage of different model based control strategies and in the variety of applications presented. A special merit of the book is in the included library of dynamic models of several industrially relevant processes, which can be used by both the industrial and academic community to study and implement advanced control strategies.

Author : Han-Xiong Li,Chenkun Qi
Publisher : Springer Science & Business Media
Page : 175 pages
File Size : 41,8 Mb
Release : 2011-02-24
Category : Mathematics
ISBN : 9789400707412

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Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems by Han-Xiong Li,Chenkun Qi Pdf

The purpose of this volume is to provide a brief review of the previous work on model reduction and identifi cation of distributed parameter systems (DPS), and develop new spatio-temporal models and their relevant identifi cation approaches. In this book, a systematic overview and classifi cation on the modeling of DPS is presented fi rst, which includes model reduction, parameter estimation and system identifi cation. Next, a class of block-oriented nonlinear systems in traditional lumped parameter systems (LPS) is extended to DPS, which results in the spatio-temporal Wiener and Hammerstein systems and their identifi cation methods. Then, the traditional Volterra model is extended to DPS, which results in the spatio-temporal Volterra model and its identification algorithm. All these methods are based on linear time/space separation. Sometimes, the nonlinear time/space separation can play a better role in modeling of very complex processes. Thus, a nonlinear time/space separation based neural modeling is also presented for a class of DPS with more complicated dynamics. Finally, all these modeling approaches are successfully applied to industrial thermal processes, including a catalytic rod, a packed-bed reactor and a snap curing oven. The work is presented giving a unifi ed view from time/space separation. The book also illustrates applications to thermal processes in the electronics packaging and chemical industry. This volume assumes a basic knowledge about distributed parameter systems, system modeling and identifi cation. It is intended for researchers, graduate students and engineers interested in distributed parameter systems, nonlinear systems, and process modeling and control.

Author : D. Bonvin
Publisher : Elsevier
Page : 561 pages
File Size : 48,8 Mb
Release : 2014-05-23
Category : Technology & Engineering
ISBN : 9781483297590

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Advanced Control of Chemical Processes 1994 by D. Bonvin Pdf

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 : Anonim
Publisher : Unknown
Page : 768 pages
File Size : 54,5 Mb
Release : 2005
Category : Dissertations, Academic
ISBN : STANFORD:36105121673151

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Dissertation Abstracts International by Anonim Pdf

Author : Matthew Ellis,Jinfeng Liu,Panagiotis D. Christofides
Publisher : Springer
Page : 311 pages
File Size : 55,6 Mb
Release : 2016-07-27
Category : Technology & Engineering
ISBN : 9783319411088

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Economic Model Predictive Control by Matthew Ellis,Jinfeng Liu,Panagiotis D. Christofides Pdf

This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational efficiency. Specifically, the book proposes: Lyapunov-based EMPC methods for nonlinear systems; two-tier EMPC architectures that are highly computationally efficient; and EMPC schemes handling explicitly uncertainty, time-varying cost functions, time-delays and multiple-time-scale dynamics. The proposed methods employ a variety of tools ranging from nonlinear systems analysis, through Lyapunov-based control techniques to nonlinear dynamic optimization. The applicability and performance of the proposed methods are demonstrated through a number of chemical process examples. The book presents state-of-the-art methods for the design of economic model predictive control systems for chemical processes.In addition to being mathematically rigorous, these methods accommodate key practical issues, for example, direct optimization of process economics, time-varying economic cost functions and computational efficiency. Numerous comments and remarks providing fundamental understanding of the merging of process economics and feedback control into a single framework are included. A control engineer can easily tailor the many detailed examples of industrial relevance given within the text to a specific application. The authors present a rich collection of new research topics and references to significant recent work making Economic Model Predictive Control an important source of information and inspiration for academics and graduate students researching the area and for process engineers interested in applying its ideas.

Author : Marie-Nathalie Contou-Carrere
Publisher : Unknown
Page : 352 pages
File Size : 43,8 Mb
Release : 2005
Category : Electronic
ISBN : MINN:31951P00861252R

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Model Reduction and Control of Multi Scale Processes by Marie-Nathalie Contou-Carrere Pdf

Author : Christian Kuehn
Publisher : Springer
Page : 816 pages
File Size : 43,6 Mb
Release : 2015-02-25
Category : Mathematics
ISBN : 9783319123165

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Multiple Time Scale Dynamics by Christian Kuehn Pdf

This book provides an introduction to dynamical systems with multiple time scales. The approach it takes is to provide an overview of key areas, particularly topics that are less available in the introductory form. The broad range of topics included makes it accessible for students and researchers new to the field to gain a quick and thorough overview. The first of its kind, this book merges a wide variety of different mathematical techniques into a more unified framework. The book is highly illustrated with many examples and exercises and an extensive bibliography. The target audience of this book are senior undergraduates, graduate students as well as researchers interested in using the multiple time scale dynamics theory in nonlinear science, either from a theoretical or a mathematical modeling perspective.

Author : R. Berber
Publisher : Springer Science & Business Media
Page : 814 pages
File Size : 55,5 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9789401101356

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Methods of Model Based Process Control by R. Berber Pdf

Model based control has emerged as an important way to improve plant efficiency in the process industries, while meeting processing and operating policy constraints. The reader of Methods of Model Based Process Control will find state of the art reports on model based control technology presented by the world's leading scientists and experts from industry. All the important issues that a model based control system has to address are covered in depth, ranging from dynamic simulation and control-relevant identification to information integration. Specific emerging topics are also covered, such as robust control and nonlinear model predictive control. In addition to critical reviews of recent advances, the reader will find new ideas, industrial applications and views of future needs and challenges. Audience: A reference for graduate-level courses and a comprehensive guide for researchers and industrial control engineers in their exploration of the latest trends in the area.

Author : Anonim
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
Page : 802 pages
File Size : 42,5 Mb
Release : 2005
Category : Technology & Engineering
ISBN : UOM:39015058777221

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2005 IEEE International Symposium on Intelligent Control & 13th Mediterranean Conference on Control and Automation by Anonim Pdf

Author : Michael Baldea
Publisher : Unknown
Page : 540 pages
File Size : 42,6 Mb
Release : 2006
Category : Electronic
ISBN : MINN:31951P01026041F

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Dynamics and Control of Integrated Process Networks by Michael Baldea Pdf

Author : Aditya Kumar
Publisher : CRC Press
Page : 182 pages
File Size : 41,8 Mb
Release : 2020-12-22
Category : Mathematics
ISBN : 9781000153767

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Control of Nonlinear Differential Algebraic Equation Systems with Applications to Chemical Processes by Aditya Kumar Pdf

The feedback control of nonlinear differential and algebraic equation systems (DAEs) is a relatively new subject. Developing steadily over the last few years, it has generated growing interest inspired by its engineering applications and by advances in the feedback control of nonlinear ordinary differential equations (ODEs). This book-the first of its kind-introduces the reader to the inherent characteristics of nonlinear DAE systems and the methods used to address their control, then discusses the significance of DAE systems to the modeling and control of chemical processes. Within a unified framework, Control of Nonlinear Differential Algebraic Equation Systems presents recent results on the stabilization, output tracking, and disturbance elimination for a large class of nonlinear DAE systems. Written at a basic mathematical level-assuming some familiarity with analysis and control of nonlinear ODEs-the authors focus on continuous-time systems of differential and algebraic equations in semi-explicit form. Beginning with background material about DAE systems and their differences from ODE systems, the book discusses generic classes of chemical processes, feedback control of regular and non-regular DAE systems, control of systems with disturbance inputs, the connection of the DAE systems considered with singularly perturbed systems, and finally offers examples that illustrate the application of control methods and the advantages of using high-index DAE models as the basis for controller design. Mathematicians and engineers will find that this book provides unique, timely results that also clearly documents the relevance of DAE systems to chemical processes.