Practical Design and Application of Model Predictive Control

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  • Author : Nassim Khaled
  • Publisher : Butterworth-Heinemann
  • Pages : 262 pages
  • ISBN : 0128139196
  • Rating : /5 from reviews
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Download or Read online Practical Design and Application of Model Predictive Control full in PDF, ePub and kindle. this book written by Nassim Khaled and published by Butterworth-Heinemann which was released on 04 May 2018 with total page 262 pages. We cannot guarantee that Practical Design and Application of Model Predictive Control book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

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 : 04 May 2018
GET THIS BOOK Practical 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

Predictive Control

Predictive Control
  • Author : Yugeng Xi,Dewei Li
  • Publisher : John Wiley & Sons
  • Release : 16 September 2019
GET THIS BOOK Predictive 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 Based Predictive Control

Model Based Predictive Control
  • Author : J.A. Rossiter
  • Publisher : CRC Press
  • Release : 12 July 2017
GET THIS BOOK Model 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

Multivariable Predictive Control

Multivariable Predictive Control
  • Author : Sandip K. Lahiri
  • Publisher : John Wiley & Sons
  • Release : 30 August 2017
GET THIS BOOK Multivariable Predictive Control

A guide to all practical aspects of building, implementing, managing, and maintaining MPC applications in industrial plants Multivariable Predictive Control: Applications in Industry provides engineers with a thorough understanding of all practical aspects of multivariate predictive control (MPC) applications, as well as expert guidance on how to derive maximum benefit from those systems. Short on theory and long on step-by-step information, it covers everything plant process engineers and control engineers need to know about building, deploying, and managing MPC applications

Model Predictive Control

Model Predictive Control
  • Author : Ridong Zhang,Anke Xue,Furong Gao
  • Publisher : Springer
  • Release : 14 August 2018
GET THIS BOOK Model Predictive Control

This monograph introduces the authors’ work on model predictive control system design using extended state space and extended non-minimal state space approaches. It systematically describes model predictive control design for chemical processes, including the basic control algorithms, the extension to predictive functional control, constrained control, closed-loop system analysis, model predictive control optimization-based PID control, genetic algorithm optimization-based model predictive control, and industrial applications. Providing important insights, useful methods and practical algorithms that can be used in chemical process control and

Model Predictive Control mit MATLAB und Simulink

Model Predictive Control mit MATLAB und Simulink
  • Author : Rainer Dittmar
  • Publisher : BoD – Books on Demand
  • Release : 04 December 2019
GET THIS BOOK Model 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

Economic Model Predictive Control

Economic Model Predictive Control
  • Author : Matthew Ellis,Jinfeng Liu,Panagiotis D. Christofides
  • Publisher : Springer
  • Release : 09 August 2016
GET THIS BOOK Economic 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

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 : 22 June 2017
GET THIS BOOK Predictive Control for Linear and Hybrid Systems

Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory including the stability, feasibility, and robustness of MPC controllers. The theory of explicit MPC, where the nonlinear optimal feedback controller can be calculated efficiently, is presented in the context of linear systems with linear constraints, switched linear systems, and, more generally,

Networked and Distributed Predictive Control

Networked and Distributed Predictive Control
  • Author : Panagiotis D. Christofides,Jinfeng Liu,David Muñoz de la Peña
  • Publisher : Springer Science & Business Media
  • Release : 07 April 2011
GET THIS BOOK Networked and Distributed Predictive Control

Networked and Distributed Predictive Control presents rigorous, yet practical, methods for the design of networked and distributed predictive control systems – the first book to do so. The design of model predictive control systems using Lyapunov-based techniques accounting for the influence of asynchronous and delayed measurements is followed by a treatment of networked control architecture development. This shows how networked control can augment dedicated control systems in a natural way and takes advantage of additional, potentially asynchronous and delayed measurements to

Economic Model Predictive Control

Economic Model Predictive Control
  • Author : Matthew Ellis,Jinfeng Liu,Panagiotis D. Christofides
  • Publisher : Springer
  • Release : 27 July 2016
GET THIS BOOK Economic 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

Fighter Aircraft Maneuver Limiting Using MPC Theory and Application

Fighter Aircraft Maneuver Limiting Using MPC  Theory and Application
  • Author : Daniel Simon
  • Publisher : Linköping University Electronic Press
  • Release : 12 September 2017
GET THIS BOOK Fighter Aircraft Maneuver Limiting Using MPC Theory and Application

Flight control design for modern fighter aircraft is a challenging task. Aircraft are dynamical systems, which naturally contain a variety of constraints and nonlinearities such as, e.g., maximum permissible load factor, angle of attack and control surface deflections. Taking these limitations into account in the design of control systems is becoming increasingly important as the performance and complexity of the aircraft is constantly increasing. The aeronautical industry has traditionally applied feedforward, anti-windup or similar techniques and different ad hoc

Advanced Model Predictive Control

Advanced Model Predictive Control
  • Author : Tao Zheng
  • Publisher : BoD – Books on Demand
  • Release : 05 July 2011
GET THIS BOOK Advanced Model Predictive Control

Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request of modeling accuracy and robustness to complicated process plants, MPC has been widely accepted in many practical fields. As the guide for researchers and engineers all over the world concerned with the latest developments of MPC, the purpose of "Advanced Model Predictive Control" is to show the readers the recent achievements in

Model Predictive Control of Wind Energy Conversion Systems

Model Predictive Control of Wind Energy Conversion Systems
  • Author : Venkata Yaramasu,Bin Wu
  • Publisher : John Wiley & Sons
  • Release : 23 November 2016
GET THIS BOOK Model Predictive Control of Wind Energy Conversion Systems

Model Predictive Control of Wind Energy Conversion Systems addresses the predicative control strategy that has emerged as a promising digital control tool within the field of power electronics, variable-speed motor drives, and energy conversion systems. The authors provide a comprehensive analysis on the model predictive control of power converters employed in a wide variety of variable-speed wind energy conversion systems (WECS). The contents of this book includes an overview of wind energy system configurations, power converters for variable-speed WECS, digital

MPC Based Reference Governors

MPC Based Reference Governors
  • Author : Martin Klaučo,Michal Kvasnica
  • Publisher : Springer
  • Release : 21 May 2019
GET THIS BOOK MPC Based Reference Governors

This monograph focuses on the design of optimal reference governors using model predictive control (MPC) strategies. These MPC-based governors serve as a supervisory control layer that generates optimal trajectories for lower-level controllers such that the safety of the system is enforced while optimizing the overall performance of the closed-loop system. The first part of the monograph introduces the concept of optimization-based reference governors, provides an overview of the fundamentals of convex optimization and MPC, and discusses a rigorous design procedure