Developments In Model Based Optimization And Control

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Developments in Model-Based Optimization and Control

Sorin Olaru,Alexandra Grancharova,Fernando Lobo Pereira
Developments in Model Based Optimization and Control Book PDF

Author : Sorin Olaru,Alexandra Grancharova,Fernando Lobo Pereira
Publisher : Springer
Page : 381 pages
File Size : 43,6 Mb
Release : 2015-12-23
Category : Technology & Engineering
ISBN : 9783319266879

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Developments in Model-Based Optimization and Control by Sorin Olaru,Alexandra Grancharova,Fernando Lobo Pereira Pdf

This book deals with optimization methods as tools for decision making and control in the presence of model uncertainty. It is oriented to the use of these tools in engineering, specifically in automatic control design with all its components: analysis of dynamical systems, identification problems, and feedback control design. Developments in Model-Based Optimization and Control takes advantage of optimization-based formulations for such classical feedback design objectives as stability, performance and feasibility, afforded by the established body of results and methodologies constituting optimal control theory. It makes particular use of the popular formulation known as predictive control or receding-horizon optimization. The individual contributions in this volume are wide-ranging in subject matter but coordinated within a five-part structure covering material on: · complexity and structure in model predictive control (MPC); · collaborative MPC; · distributed MPC; · optimization-based analysis and design; and · applications to bioprocesses, multivehicle systems or energy management. The various contributions cover a subject spectrum including inverse optimality and more modern decentralized and cooperative formulations of receding-horizon optimal control. Readers will find fourteen chapters dedicated to optimization-based tools for robustness analysis, and decision-making in relation to feedback mechanisms—fault detection, for example—and three chapters putting forward applications where the model-based optimization brings a novel perspective. Developments in Model-Based Optimization and Control is a selection of contributions expanded and updated from the Optimisation-based Control and Estimation workshops held in November 2013 and November 2014. It forms a useful resource for academic researchers and graduate students interested in the state of the art in predictive control. Control engineers working in model-based optimization and control, particularly in its bioprocess applications will also find this collection instructive.

Optimization and Control of Dynamic Systems

Henryk Górecki
Optimization and Control of Dynamic Systems Book PDF

Author : Henryk Górecki
Publisher : Springer
Page : 666 pages
File Size : 45,5 Mb
Release : 2017-07-26
Category : Technology & Engineering
ISBN : 9783319626468

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Optimization and Control of Dynamic Systems by Henryk Górecki Pdf

This book offers a comprehensive presentation of optimization and polyoptimization methods. The examples included are taken from various domains: mechanics, electrical engineering, economy, informatics, and automatic control, making the book especially attractive. With the motto “from general abstraction to practical examples,” it presents the theory and applications of optimization step by step, from the function of one variable and functions of many variables with constraints, to infinite dimensional problems (calculus of variations), a continuation of which are optimization methods of dynamical systems, that is, dynamic programming and the maximum principle, and finishing with polyoptimization methods. It includes numerous practical examples, e.g., optimization of hierarchical systems, optimization of time-delay systems, rocket stabilization modeled by balancing a stick on a finger, a simplified version of the journey to the moon, optimization of hybrid systems and of the electrical long transmission line, analytical determination of extremal errors in dynamical systems of the rth order, multicriteria optimization with safety margins (the skeleton method), and ending with a dynamic model of bicycle. The book is aimed at readers who wish to study modern optimization methods, from problem formulation and proofs to practical applications illustrated by inspiring concrete examples.

Model-Based Control:

Paul M.J. van den Hof,Carsten Scherer,Peter S.C. Heuberger
Model Based Control Book PDF

Author : Paul M.J. van den Hof,Carsten Scherer,Peter S.C. Heuberger
Publisher : Springer Science & Business Media
Page : 239 pages
File Size : 47,7 Mb
Release : 2009-08-05
Category : Technology & Engineering
ISBN : 9781441908957

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Model-Based Control: by Paul M.J. van den Hof,Carsten Scherer,Peter S.C. Heuberger Pdf

Model-Based Control will be a collection of state-of-the-art contributions in the field of modelling, identification, robust control and optimization of dynamical systems, with particular attention to the application domains of motion control systems (high-accuracy positioning systems) and large scale industrial process control systems.The book will be directed to academic and industrial people involved in research in systems and control, industrial process control and mechatronics.

Model Development and Optimization

V.V. Ivanov
Model Development and Optimization Book PDF

Author : V.V. Ivanov
Publisher : Springer Science & Business Media
Page : 260 pages
File Size : 47,6 Mb
Release : 2013-11-09
Category : Science
ISBN : 9781461540625

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Model Development and Optimization by V.V. Ivanov Pdf

At present, concerning intensive development of computer hardware and software, computer-based methods for modeling of difficult problems have become the main technique for theoretical and applied investigations. Many unsolved tasks for evolutionary systems (ES) are an important class of such problems. ES relate to economic systems on the whole and separate branches and businesses, scientific and art centers, ecological systems, populations, separate species of animals and plants, human organisms, different subsystems of organisms, cells of animals and plants, and soon. Available methods for modeling of complex systems have received considerable attention and led to significant results. No large-scale programs are done without methods of modeling today. Power programs, health programs, cosmos investigations, economy designs, etc. are a few examples of such programs. Nevertheless, in connection with the permanent complication of contemporary problems, existing means are in need of subsequent renovation and perfection. In the monograph, along with analysis of contemporary means, new classes of mathematical models (MM) which can be used for modeling in the most difficult cases are proposed and justified. The main peculiarities of these MM offer possibilities for the description ofES; creation and restoration processes; dynamics of elimination or reservation of obsolete technology in ES; dynamics of resources distribution for fulfillment of internal and external functions ofES; and so on. The complexity of the problems allows us to refer to the theory and applications of these MM as the mathematical theory of development. For simplicity, the title "Model Development and Optimization" was adopted.

Multi-parametric Optimization and Control

Efstratios N. Pistikopoulos,Nikolaos A. Diangelakis,Richard Oberdieck
Multi parametric Optimization and Control Book PDF

Author : Efstratios N. Pistikopoulos,Nikolaos A. Diangelakis,Richard Oberdieck
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 42,9 Mb
Release : 2020-11-24
Category : Mathematics
ISBN : 9781119265184

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Multi-parametric Optimization and Control by Efstratios N. Pistikopoulos,Nikolaos A. Diangelakis,Richard Oberdieck Pdf

Recent developments in multi-parametric optimization and control Multi-Parametric Optimization and Control provides comprehensive coverage of recent methodological developments for optimal model-based control through parametric optimization. It also shares real-world research applications to support deeper understanding of the material. Researchers and practitioners can use the book as reference. It is also suitable as a primary or a supplementary textbook. Each chapter looks at the theories related to a topic along with a relevant case study. Topic complexity increases gradually as readers progress through the chapters. The first part of the book presents an overview of the state-of-the-art multi-parametric optimization theory and algorithms in multi-parametric programming. The second examines the connection between multi-parametric programming and model-predictive control—from the linear quadratic regulator over hybrid systems to periodic systems and robust control. The third part of the book addresses multi-parametric optimization in process systems engineering. A step-by-step procedure is introduced for embedding the programming within the system engineering, which leads the reader into the topic of the PAROC framework and software platform. PAROC is an integrated framework and platform for the optimization and advanced model-based control of process systems. Uses case studies to illustrate real-world applications for a better understanding of the concepts presented Covers the fundamentals of optimization and model predictive control Provides information on key topics, such as the basic sensitivity theorem, linear programming, quadratic programming, mixed-integer linear programming, optimal control of continuous systems, and multi-parametric optimal control An appendix summarizes the history of multi-parametric optimization algorithms. It also covers the use of the parametric optimization toolbox (POP), which is comprehensive software for efficiently solving multi-parametric programming problems.

Model-Based Control:

Paul M.J. van den Hof,Carsten Scherer,Peter S.C. Heuberger
Model Based Control Book PDF

Author : Paul M.J. van den Hof,Carsten Scherer,Peter S.C. Heuberger
Publisher : Springer
Page : 239 pages
File Size : 50,7 Mb
Release : 2009-08-14
Category : Technology & Engineering
ISBN : 1441908943

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Model-Based Control: by Paul M.J. van den Hof,Carsten Scherer,Peter S.C. Heuberger Pdf

Model-Based Control will be a collection of state-of-the-art contributions in the field of modelling, identification, robust control and optimization of dynamical systems, with particular attention to the application domains of motion control systems (high-accuracy positioning systems) and large scale industrial process control systems.The book will be directed to academic and industrial people involved in research in systems and control, industrial process control and mechatronics.

Methods of Model Based Process Control

R. Berber
Methods of Model Based Process Control Book PDF

Author : R. Berber
Publisher : Springer Science & Business Media
Page : 814 pages
File Size : 44,6 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.

Advances in Mathematical Modeling, Optimization and Optimal Control

Jean-Baptiste Hiriart-Urruty,Adam Korytowski,Helmut Maurer,Maciej Szymkat
Advances in Mathematical Modeling Optimization and Optimal Control Book PDF

Author : Jean-Baptiste Hiriart-Urruty,Adam Korytowski,Helmut Maurer,Maciej Szymkat
Publisher : Springer
Page : 205 pages
File Size : 45,6 Mb
Release : 2016-05-19
Category : Mathematics
ISBN : 9783319307855

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Advances in Mathematical Modeling, Optimization and Optimal Control by Jean-Baptiste Hiriart-Urruty,Adam Korytowski,Helmut Maurer,Maciej Szymkat Pdf

This book contains extended, in-depth presentations of the plenary talks from the 16th French-German-Polish Conference on Optimization, held in Kraków, Poland in 2013. Each chapter in this book exhibits a comprehensive look at new theoretical and/or application-oriented results in mathematical modeling, optimization, and optimal control. Students and researchers involved in image processing, partial differential inclusions, shape optimization, or optimal control theory and its applications to medical and rehabilitation technology, will find this book valuable. The first chapter by Martin Burger provides an overview of recent developments related to Bregman distances, which is an important tool in inverse problems and image processing. The chapter by Piotr Kalita studies the operator version of a first order in time partial differential inclusion and its time discretization. In the chapter by Günter Leugering, Jan Sokołowski and Antoni Żochowski, nonsmooth shape optimization problems for variational inequalities are considered. The next chapter, by Katja Mombaur is devoted to applications of optimal control and inverse optimal control in the field of medical and rehabilitation technology, in particular in human movement analysis, therapy and improvement by means of medical devices. The final chapter, by Nikolai Osmolovskii and Helmut Maurer provides a survey on no-gap second order optimality conditions in the calculus of variations and optimal control, and a discussion of their further development.

Predictive Control

Yugeng Xi,Dewei Li
Predictive Control Book PDF

Author : Yugeng Xi,Dewei Li
Publisher : John Wiley & Sons
Page : 391 pages
File Size : 48,8 Mb
Release : 2019-11-12
Category : Technology & Engineering
ISBN : 9781119119548

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Predictive Control by Yugeng Xi,Dewei Li Pdf

This book is a comprehensive introduction to model predictive control (MPC), including its basic principles and algorithms, system analysis and design methods, strategy developments and practical applications. The main contents of the book include an overview of the development trajectory and basic principles of MPC, typical MPC algorithms, quantitative analysis of classical MPC systems, design and tuning methods for MPC parameters, constrained multivariable MPC algorithms and online optimization decomposition methods. Readers will then progress to more advanced topics such as nonlinear MPC and its related algorithms, the diversification development of MPC with respect to control structures and optimization strategies, and robust MPC. Finally, applications of MPC and its generalization to optimization-based dynamic problems other than control will be discussed. Systematically introduces fundamental concepts, basic algorithms, and applications of MPC Includes a comprehensive overview of MPC development, emphasizing recent advances and modern approaches Features numerous MPC models and structures, based on rigorous research Based on the best-selling Chinese edition, which is a key text in China Predictive Control: Fundamentals and Developments is written for advanced undergraduate and graduate students and researchers specializing in control technologies. It is also a useful reference for industry professionals, engineers, and technicians specializing in advanced optimization control technology.

Techniques of Model-based Control

Coleman Brosilow,Babu Joseph
Techniques of Model based Control Book PDF

Author : Coleman Brosilow,Babu Joseph
Publisher : Prentice Hall Professional
Page : 712 pages
File Size : 50,9 Mb
Release : 2002
Category : Computers
ISBN : UOM:39015054377836

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Techniques of Model-based Control by Coleman Brosilow,Babu Joseph Pdf

Annotation In this book, two of the field's leading experts bring together powerful advances in model-based control for chemical process engineering. From start to finish, Coleman Brosilow and Babu Joseph introduce practical approaches designed to solve real-world problems -- not just theory. The book contains extensive examples and exercises, and an accompanying CD-ROM contains hands-on MATLAB files that supplement the examples and help readers solve the exercises -- a feature found in no other book on the topic.

TP-Model Transformation-Based-Control Design Frameworks

Péter Baranyi
TP Model Transformation Based Control Design Frameworks Book PDF

Author : Péter Baranyi
Publisher : Springer
Page : 230 pages
File Size : 45,6 Mb
Release : 2016-04-28
Category : Technology & Engineering
ISBN : 9783319196053

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TP-Model Transformation-Based-Control Design Frameworks by Péter Baranyi Pdf

This book covers new aspects and frameworks of control, design, and optimization based on the TP model transformation and its various extensions. The author outlines the three main steps of polytopic and LMI based control design: 1) development of the qLPV state-space model, 2) generation of the polytopic model; and 3) application of LMI to derive controller and observer. He goes on to describe why literature has extensively studied LMI design, but has not focused much on the second step, in part because the generation and manipulation of the polytopic form was not tractable in many cases. The author then shows how the TP model transformation facilitates this second step and hence reveals new directions, leading to powerful design procedures and the formulation of new questions. The chapters of this book, and the complex dynamical control tasks which they cover, are organized so as to present and analyze the beneficial aspect of the family of approaches (control, design, and optimization). Additionally, the book aims to convey simple TP modeling; a new convex hull manipulation based possibilities for optimization; a general framework for stability analysis; standardized modeling and system description; relaxed and universal LMI based design framework; and a gateway to time-delayed systems.

Modeling, Control and Optimization of Water Systems

Thomas Rauschenbach
Modeling Control and Optimization of Water Systems Book PDF

Author : Thomas Rauschenbach
Publisher : Springer
Page : 303 pages
File Size : 52,9 Mb
Release : 2015-12-14
Category : Technology & Engineering
ISBN : 9783642160264

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Modeling, Control and Optimization of Water Systems by Thomas Rauschenbach Pdf

This book provides essential background knowledge on the development of model-based real-world solutions in the field of control and decision making for water systems. It presents system engineering methods for modelling surface water and groundwater resources as well as water transportation systems (rivers, channels and pipelines). The models in turn provide information on both the water quantity (flow rates, water levels) of surface water and groundwater and on water quality. In addition, methods for modelling and predicting water demand are described. Sample applications of the models are presented, such as a water allocation decision support system for semi-arid regions, a multiple-criteria control model for run-of-river hydropower plants, and a supply network simulation for public services.

Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

David Greiner,Blas Galván,Jacques Périaux,Nicolas Gauger,Kyriakos Giannakoglou,Gabriel Winter
Advances in Evolutionary and Deterministic Methods for Design Optimization and Control in Engineering and Sciences Book PDF

Author : David Greiner,Blas Galván,Jacques Périaux,Nicolas Gauger,Kyriakos Giannakoglou,Gabriel Winter
Publisher : Springer
Page : 522 pages
File Size : 41,9 Mb
Release : 2014-11-14
Category : Technology & Engineering
ISBN : 9783319115412

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Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences by David Greiner,Blas Galván,Jacques Périaux,Nicolas Gauger,Kyriakos Giannakoglou,Gabriel Winter Pdf

This book contains state-of-the-art contributions in the field of evolutionary and deterministic methods for design, optimization and control in engineering and sciences. Specialists have written each of the 34 chapters as extended versions of selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013). The conference was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). Topics treated in the various chapters are classified in the following sections: theoretical and numerical methods and tools for optimization (theoretical methods and tools; numerical methods and tools) and engineering design and societal applications (turbo machinery; structures, materials and civil engineering; aeronautics and astronautics; societal applications; electrical and electronics applications), focused particularly on intelligent systems for multidisciplinary design optimization (mdo) problems based on multi-hybridized software, adjoint-based and one-shot methods, uncertainty quantification and optimization, multidisciplinary design optimization, applications of game theory to industrial optimization problems, applications in structural and civil engineering optimum design and surrogate models based optimization methods in aerodynamic design.

Mathematical Modelling and Optimization of Engineering Problems

J. A. Tenreiro Machado,Necati Özdemir,Dumitru Baleanu
Mathematical Modelling and Optimization of Engineering Problems Book PDF

Author : J. A. Tenreiro Machado,Necati Özdemir,Dumitru Baleanu
Publisher : Springer Nature
Page : 204 pages
File Size : 41,9 Mb
Release : 2020-02-12
Category : Mathematics
ISBN : 9783030370626

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Mathematical Modelling and Optimization of Engineering Problems by J. A. Tenreiro Machado,Necati Özdemir,Dumitru Baleanu Pdf

This book presents recent developments in modelling and optimization of engineering systems and the use of advanced mathematical methods for solving complex real-world problems. It provides recent theoretical developments and new techniques based on control, optimization theory, mathematical modeling and fractional calculus that can be used to model and understand complex behavior in natural phenomena including latest technologies such as additive manufacturing. Specific topics covered in detail include combinatorial optimization, flow and heat transfer, mathematical modelling, energy storage and management policy, artificial intelligence, optimal control, modelling and optimization of manufacturing systems.

Surrogate-Based Modeling and Optimization

Slawomir Koziel,Leifur Leifsson
Surrogate Based Modeling and Optimization Book PDF

Author : Slawomir Koziel,Leifur Leifsson
Publisher : Springer Science & Business Media
Page : 412 pages
File Size : 46,7 Mb
Release : 2013-06-06
Category : Mathematics
ISBN : 9781461475514

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Surrogate-Based Modeling and Optimization by Slawomir Koziel,Leifur Leifsson Pdf

Contemporary engineering design is heavily based on computer simulations. Accurate, high-fidelity simulations are used not only for design verification but, even more importantly, to adjust parameters of the system to have it meet given performance requirements. Unfortunately, accurate simulations are often computationally very expensive with evaluation times as long as hours or even days per design, making design automation using conventional methods impractical. These and other problems can be alleviated by the development and employment of so-called surrogates that reliably represent the expensive, simulation-based model of the system or device of interest but they are much more reasonable and analytically tractable. This volume features surrogate-based modeling and optimization techniques, and their applications for solving difficult and computationally expensive engineering design problems. It begins by presenting the basic concepts and formulations of the surrogate-based modeling and optimization paradigm and then discusses relevant modeling techniques, optimization algorithms and design procedures, as well as state-of-the-art developments. The chapters are self-contained with basic concepts and formulations along with applications and examples. The book will be useful to researchers in engineering and mathematics, in particular those who employ computationally heavy simulations in their design work.