Practical Design and Application of Model Predictive Control

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Read or download book entitled Practical Design and Application of Model Predictive Control written by Nassim Khaled and published by Butterworth-Heinemann in PDF, EPUB and Kindle Format. Click Get This Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like. We cannot guarantee that Practical Design and Application of Model Predictive Control book is available in the library.

  • Publisher : Butterworth-Heinemann
  • Release : 04 May 2018
  • ISBN : 9780128139196
  • Page : 262 pages
  • Rating : 4.5/5 from 103 voters

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Practical Design and Application of Model Predictive Control is a self-learning resource on how to design, tune and deploy an MPC using MATLAB® and Simulink®. This reference is one of the most detailed publications on how to design and tune MPC controllers. Examples presented range from double-Mass spring system, ship heading and speed control, robustness analysis through Monte-Carlo simulations, photovoltaic optimal control, and energy management of power-split and air-handling control. Readers will also learn how to embed the designed MPC controller in a real-time platform such as Arduino®. The selected problems are nonlinear and challenging, and thus serve as an excellent experimental, dynamic system to show the reader the capability of MPC. The step-by-step solutions of the problems are thoroughly documented to allow the reader to easily replicate the results. Furthermore, the MATLAB® and Simulink® codes for the solutions are available for free download. Readers can connect with the authors through the dedicated website which includes additional free resources at www.practicalmpc.com. Illustrates how to design, tune and deploy MPC for projects in a quick manner Demonstrates a variety of applications that are solved using MATLAB® and Simulink® Bridges the gap in providing a number of realistic problems with very hands-on training Provides MATLAB® and Simulink® code solutions. This includes nonlinear plant models that the reader can use for other projects and research work Presents application problems with solutions to help reinforce the information learned

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Practical Design and Application of Model Predictive Control

Practical Design and Application of Model Predictive Control
  • Author : Nassim Khaled,Bibin Pattel
  • Publisher : Butterworth-Heinemann
  • Release Date : 2018-05-04
  • ISBN : 9780128139196
GET THIS BOOKPractical Design and Application of Model Predictive Control

Practical Design and Application of Model Predictive Control is a self-learning resource on how to design, tune and deploy an MPC using MATLAB® and Simulink®. This reference is one of the most detailed publications on how to design and tune MPC controllers. Examples presented range from double-Mass spring system, ship heading and speed control, robustness analysis through Monte-Carlo simulations, photovoltaic optimal control, and energy management of power-split and air-handling control. Readers will also learn how to embed the designed MPC

Model Predictive Control System Design and Implementation Using MATLAB®

Model Predictive Control System Design and Implementation Using MATLAB®
  • Author : Liuping Wang
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-02-14
  • ISBN : 9781848823310
GET THIS BOOKModel Predictive Control System Design and Implementation Using MATLAB®

Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters. After

Model-Based Predictive Control

Model-Based Predictive Control
  • Author : J.A. Rossiter
  • Publisher : CRC Press
  • Release Date : 2017-07-12
  • ISBN : 9781351988599
GET THIS BOOKModel-Based Predictive Control

Model Predictive Control (MPC) has become a widely used methodology across all engineering disciplines, yet there are few books which study this approach. Until now, no book has addressed in detail all key issues in the field including apriori stability and robust stability results. Engineers and MPC researchers now have a volume that provides a complete overview of the theory and practice of MPC as it relates to process and control engineering. Model-Based Predictive Control, A Practical Approach, analyzes predictive

Handbook of Model Predictive Control

Handbook of Model Predictive Control
  • Author : Saša V. Raković,William S. Levine
  • Publisher : Springer
  • Release Date : 2018-09-01
  • ISBN : 9783319774893
GET THIS BOOKHandbook of Model Predictive Control

Recent developments in model-predictive control promise remarkable opportunities for designing multi-input, multi-output control systems and improving the control of single-input, single-output systems. This volume provides a definitive survey of the latest model-predictive control methods available to engineers and scientists today. The initial set of chapters present various methods for managing uncertainty in systems, including stochastic model-predictive control. With the advent of affordable and fast computation, control engineers now need to think about using “computationally intensive controls,” so the second part

Model Predictive Control in the Process Industry

Model Predictive Control in the Process Industry
  • Author : Eduardo F. Camacho,Carlos A. Bordons
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • ISBN : 9781447130086
GET THIS BOOKModel Predictive Control in the Process Industry

Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found

Predictive Control for Linear and Hybrid Systems

Predictive Control for Linear and Hybrid Systems
  • Author : Francesco Borrelli,Alberto Bemporad,Manfred Morari
  • Publisher : Cambridge University Press
  • Release Date : 2017-06-22
  • ISBN : 9781107016880
GET THIS BOOKPredictive Control for Linear and Hybrid Systems

With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC).

Model Predictive Control

Model Predictive Control
  • Author : Eduardo F. Camacho,Carlos Bordons Alba
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-01-10
  • ISBN : 9780857293985
GET THIS BOOKModel Predictive Control

The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. The book demonstrates that a powerful technique does not always require complex control algorithms. Many new exercises and examples have also been added throughout. Solutions available for download from the authors' website save the tutor time

Nonlinear Model Predictive Control

Nonlinear Model Predictive Control
  • Author : Lalo Magni,Davide Martino Raimondo,Frank Allgöwer
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-05-25
  • ISBN : 9783642010934
GET THIS BOOKNonlinear Model Predictive Control

Over the past few years significant progress has been achieved in the field of nonlinear model predictive control (NMPC), also referred to as receding horizon control or moving horizon control. More than 250 papers have been published in 2006 in ISI Journals. With this book we want to bring together the contributions of a diverse group of internationally well recognized researchers and industrial practitioners, to critically assess the current status of the NMPC field and to discuss future directions and needs. The

Predictive Control

Predictive Control
  • Author : Yugeng Xi,Dewei Li
  • Publisher : John Wiley & Sons
  • Release Date : 2019-11-12
  • ISBN : 9781119119548
GET THIS BOOKPredictive Control

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

Model Predictive Control

Model Predictive Control
  • Author : James Blake Rawlings,David Q. Mayne,Moritz Diehl
  • Publisher : Unknown
  • Release Date : 2017
  • ISBN : 0975937758
GET THIS BOOKModel Predictive Control

Automotive Model Predictive Control

Automotive Model Predictive Control
  • Author : Luigi Del Re,Frank Allgöwer,Luigi Glielmo,Carlos Guardiola,Ilya Kolmanovsky
  • Publisher : Springer
  • Release Date : 2010-03-11
  • ISBN : 9781849960717
GET THIS BOOKAutomotive Model Predictive Control

Automotive control has developed over the decades from an auxiliary te- nology to a key element without which the actual performances, emission, safety and consumption targets could not be met. Accordingly, automotive control has been increasing its authority and responsibility – at the price of complexity and di?cult tuning. The progressive evolution has been mainly ledby speci?capplicationsandshorttermtargets,withthe consequencethat automotive control is to a very large extent more heuristic than systematic. Product requirements are still increasing and new challenges

Model Predictive Control mit MATLAB und Simulink

Model Predictive Control mit MATLAB und Simulink
  • Author : Rainer Dittmar
  • Publisher : BoD – Books on Demand
  • Release Date : 2019-12-04
  • ISBN : 9781838800956
GET THIS BOOKModel Predictive Control mit MATLAB und Simulink

Modellbasierte prädiktive Regelungen dienen der Lösung anspruchsvoller Aufgaben der Mehrgrößenregelung mit Beschränkungen der Stell- und Regelgrößen. Sie werden in der Industrie in vielen Bereichen erfolgreich eingesetzt. Mit der MPC ToolboxTM des Programmsystems MATLAB®/Simulink® steht ein Werkzeug zur Verfügung, das sowohl in der industriellen Praxis als auch an Universitäten und Hochschulen verwendet wird. Das vorliegende Buch gibt eine Übersicht über die Grundideen und Anwendungsvorteile des MPC-Konzepts. Es zeigt, wie mit Hilfe der Toolbox

Explicit Nonlinear Model Predictive Control

Explicit Nonlinear Model Predictive Control
  • Author : Alexandra Grancharova,Tor Arne Johansen
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-03-23
  • ISBN : 9783642287794
GET THIS BOOKExplicit Nonlinear Model Predictive Control

Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process industries. The main motivation behind explicit NMPC is that an explicit state feedback law avoids the need for executing a numerical optimization algorithm in real time. The benefits of an explicit solution, in addition to the efficient on-line computations, include also verifiability of the implementation and the possibility to design embedded control systems with low software and hardware complexity. This book considers

I+D for Smart Cities and Industry

I+D for Smart Cities and Industry
  • Author : Marcelo Zambrano Vizuete,Miguel Botto-Tobar,Angela Diaz Cadena,Ana Zambrano Vizuete
  • Publisher : Springer Nature
  • Release Date : 2022-08-01
  • ISBN : 9783031112959
GET THIS BOOKI+D for Smart Cities and Industry

This book presents the proceedings of the Second International Conference on Technological Research - RITAM 2021. RITAM 2021 was held on October 27–29, 2021. It was jointly supported and co-organized by the RITAM Research Network (Sucre, Central Técnico, Turismo y Patrimonio YAVIRAC, Luis Napoleón Dillon, Conservatorio Superior Nacional de Música, Luis A Martínez, Paulo Emilio Macías, La Maná, Luis A Martínez Agronómico Loja, Primero de Mayo, Jaime Roldós Aguilera, Cotacachi, Alfonso Herrera) and GDEON. RITAM aims

Economic Model Predictive Control

Economic Model Predictive Control
  • Author : Matthew Ellis,Jinfeng Liu,Panagiotis D. Christofides
  • Publisher : Springer
  • Release Date : 2016-07-27
  • ISBN : 9783319411088
GET THIS BOOKEconomic Model Predictive Control

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