Nonlinear Model Predictive Control

Written By Lalo Magni
Nonlinear Model Predictive Control
  • Publsiher : Springer Science & Business Media
  • Release : 25 May 2009
  • ISBN : 3642010938
  • Pages : 576 pages
  • Rating : /5 from reviews
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Download or read book entitled Nonlinear Model Predictive Control by author: Lalo Magni which was release on 25 May 2009 and published by Springer Science & Business Media with total page 576 pages . This book available in PDF, EPUB and Kindle Format. 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 book consists of selected papers presented at the International Workshop on Assessment an Future Directions of Nonlinear Model Predictive Control that took place from September 5 to 9, 2008, in Pavia, Italy.

Automotive Model Predictive Control

Automotive Model Predictive Control
  • Author : Luigi Del Re,Frank Allgöwer,Luigi Glielmo,Carlos Guardiola,Ilya Kolmanovsky
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-03-11
  • Total pages : 290
  • ISBN : 3642010938
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Summary : 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 ...

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
  • Total pages : 576
  • ISBN : 3642010938
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Summary : 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 ...

Model Predictive Control

Model Predictive Control
  • Author : Basil Kouvaritakis,Mark Cannon
  • Publisher : Springer
  • Release Date : 2015-12-01
  • Total pages : 384
  • ISBN : 3642010938
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Summary : For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. Model Predictive Control describes the development of tractable algorithms for uncertain, stochastic, constrained systems. The starting point is classical predictive control and the appropriate formulation of performance objectives and constraints ...

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
  • Total pages : 239
  • ISBN : 3642010938
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Summary : 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 ...

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
  • Total pages : 234
  • ISBN : 3642010938
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Summary : 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, ...

Predictive Control

Predictive Control
  • Author : Yugeng Xi,Dewei Li
  • Publisher : John Wiley & Sons
  • Release Date : 2019-09-16
  • Total pages : 440
  • ISBN : 3642010938
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Summary : 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 ...

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 : 2009-03-04
  • Total pages : 378
  • ISBN : 3642010938
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Summary : 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 ...

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
  • Total pages : 440
  • ISBN : 3642010938
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Summary : 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
  • Total pages : 405
  • ISBN : 3642010938
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Summary : 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 ...

Handbook of Model Predictive Control

Handbook of Model Predictive Control
  • Author : Saša V. Raković,William S. Levine
  • Publisher : Birkhäuser
  • Release Date : 2018-09-12
  • Total pages : 692
  • ISBN : 3642010938
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Summary : 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 ...

Nonlinear Model Predictive Control

Nonlinear Model Predictive Control
  • Author : Frank Allgöwer,Alex Zheng
  • Publisher : Birkhäuser
  • Release Date : 2012-12-06
  • Total pages : 472
  • ISBN : 3642010938
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Summary : During the past decade model predictive control (MPC), also referred to as receding horizon control or moving horizon control, has become the preferred control strategy for quite a number of industrial processes. There have been many significant advances in this area over the past years, one of the most important ...

Dynamic Modeling Predictive Control and Performance Monitoring

Dynamic Modeling  Predictive Control and Performance Monitoring
  • Author : Biao Huang,Ramesh Kadali
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-04-11
  • Total pages : 242
  • ISBN : 3642010938
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Summary : 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 ...

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
  • Total pages : 262
  • ISBN : 3642010938
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Summary : 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 ...

Predictive Control

Predictive Control
  • Author : Jan Marian Maciejowski
  • Publisher : Pearson Education
  • Release Date : 2002
  • Total pages : 331
  • ISBN : 3642010938
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Summary : Model predictive control is an indispensable part of industrial control engineering and is increasingly the "method of choice" for advanced control applications. Jan Maciejowski's book provides a systematic and comprehensive course on predictive control suitable for final year students and professional engineers. The first book to cover constrained predictive control, ...

Nonlinear Model Predictive Control

Nonlinear Model Predictive Control
  • Author : Lars Grüne,Jürgen Pannek
  • Publisher : Springer
  • Release Date : 2016-11-09
  • Total pages : 456
  • ISBN : 3642010938
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Summary : This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC schemes with and without stabilizing terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC variants. NMPC is interpreted as an approximation of infinite-horizon optimal control ...