Automotive Model Predictive Control

Written By Luigi Del Re
Automotive Model Predictive Control
  • Publsiher : Springer Science & Business Media
  • Release : 11 March 2010
  • ISBN : 1849960704
  • Pages : 290 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled Automotive Model Predictive Control written by Luigi Del Re which was release on 11 March 2010, this book published by Springer Science & Business Media. Available in PDF, EPUB and Kindle Format. Book excerpt: 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 are coming from potentially huge markets like India and China, and against this ba- ground there is wide consensus both in the industry and academia that the current state is not satisfactory. Model-based control could be an approach to improve performance while reducing development and tuning times and possibly costs. Model predictive control is a kind of model-based control design approach which has experienced a growing success since the middle of the 1980s for “slow” complex plants, in particular of the chemical and process industry. In the last decades, severaldevelopments haveallowedusing these methods also for “fast”systemsandthis hassupporteda growinginterestinitsusealsofor automotive applications, with several promising results reported. Still there is no consensus on whether model predictive control with its high requi- ments on model quality and on computational power is a sensible choice for automotive control.

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 : 1849960704
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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 : 1849960704
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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 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 : 1849960704
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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 : 1849960704
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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, ...

Model Predictive Control

Model Predictive Control
  • Author : Basil Kouvaritakis,Mark Cannon
  • Publisher : Springer
  • Release Date : 2015-12-01
  • Total pages : 384
  • ISBN : 1849960704
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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 ...

Predictive Control

Predictive Control
  • Author : Yugeng Xi,Dewei Li
  • Publisher : John Wiley & Sons
  • Release Date : 2019-09-16
  • Total pages : 440
  • ISBN : 1849960704
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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 : 1849960704
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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 ...

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 : 1849960704
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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 ...

Assessment and Future Directions of Nonlinear Model Predictive Control

Assessment and Future Directions of Nonlinear Model Predictive Control
  • Author : Rolf Findeisen,Frank Allgöwer,Lorenz Biegler
  • Publisher : Springer
  • Release Date : 2007-09-08
  • Total pages : 644
  • ISBN : 1849960704
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Summary : Thepastthree decadeshaveseenrapiddevelopmentin the areaofmodelpred- tive control with respect to both theoretical and application aspects. Over these 30 years, model predictive control for linear systems has been widely applied, especially in the area of process control. However, today’s applications often require driving the process over a wide region and close to ...

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 : 1849960704
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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 ...

Nonlinear Model Predictive Control

Nonlinear Model Predictive Control
  • Author : Frank Allgöwer,Alex Zheng
  • Publisher : Birkhäuser
  • Release Date : 2012-12-06
  • Total pages : 472
  • ISBN : 1849960704
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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 ...

Model Based Predictive Control

Model Based Predictive Control
  • Author : J.A. Rossiter
  • Publisher : CRC Press
  • Release Date : 2003-06-27
  • Total pages : 344
  • ISBN : 1849960704
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Summary : 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 ...

Adaptive Prediction and Predictive Control

Adaptive Prediction and Predictive Control
  • Author : Partha Pratim Kanjilal
  • Publisher : IET
  • Release Date : 1995
  • Total pages : 518
  • ISBN : 1849960704
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Summary : This monograph is concerned with the prediction and control of processes expressed by discrete-time models. It is assumed that the characteristics of the process may vary over time. The processes concerned may be linear or nonlinear, periodic or nonperiodic, single input/single output or simply output-only time series. The primary ...

Generalized Predictive Control And Bioengineering

Generalized Predictive Control And Bioengineering
  • Author : M Mahfouf,D. A. Linkens
  • Publisher : CRC Press
  • Release Date : 1998-08-27
  • Total pages : 500
  • ISBN : 1849960704
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Summary : Predictive control is a powerful tool in dealing with those processes with large time delays. Generalized Predictive Control GPC is the most popular approach to the subject, and this text discusses the application of GPC starting with the concept of long-range predictive control and its need in medicine particularly automated ...

Receding Horizon Control

Receding Horizon Control
  • Author : Wook Hyun Kwon,Soo Hee Han
  • Publisher : Springer Science & Business Media
  • Release Date : 2005-06-29
  • Total pages : 380
  • ISBN : 1849960704
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Summary : Easy-to-follow learning structure makes absorption of advanced material as pain-free as possible Introduces complete theories for stability and cost monotonicity for constrained and non-linear systems as well as for linear systems In co-ordination with MATLAB® files available from springeronline.com, exercises and examples give the student more practice in the ...