Hi,

Model Predictive Control (Camacho and Bordons) is good basic book for Implications of model predictive control.

Hi

"Model Predictive Control, authors: Camacho & Bordons"

The book is easy to understand the basic concepts and formulations of MPC. You can find it in the following link:

http://www.springer.com/gp/book/9781852336943

Dear Sharmin,

Here are some examples of good books in Model Predictive control :

- Predictive control with constraints. by J.M.Maciejowski.

- Model Predictive Control, by Camacho, Eduardo F., Bordons Alba, Carlos

- Model Predictive Control System Design and Implementation Using MATLAB, by Wang, Liuping

- Model Predictive Control: Theory and Design, by James B. Rawlings, and David Q. Mayne

- Nonlinear Model Predictive Control, by Frank Allgower, Alex Zheng

Regards

you can go for  Predictive Control of Power Converters and Electrical Drives by Jose Rodriguez, Patricio Cortes. 

First Know about your Plant and Mathematical model of Plant, then study about prediction of systems.

if you know fully about your plant then its very easy to predict the required parameters

The following book is an excellent reference to learn the basics of MPC, particularly for state space models.

L. Wang, Model Predictive Control System Design and Implementation Using MATLAB®. Springer, 2009.

Hi,

Model Predictive Control System Design and Implementation Using MATLAB® (Liuping Wang)

Hi

"Model Predictive Control, authors: Camacho & Bordons"

The book is easy to understand the basic concepts and formulations of MPC.

Model Predictive Control System Design and Implementation Using MATLAB®

definitely http://jbrwww.che.wisc.edu/home/jbraw/mpc/

thank you all very much for answering my question.

For automotive applications, a good reference is Del Re L, Allgöwer F, Glielmo L, et al. Automotive model predictive control[J]. LNCIS, 2010, 402: 1-22.

For the basic theorem, a good reference is Wang L. Model predictive control system design and implementation using MATLAB®[M]. Springer Science & Business Media, 2009.

Hi, looking on your project, you can check this:

http://www.mpc.berkeley.edu/research/advanced-vehicle-dynamic-control.

For simulation, you can check on MATLAB's MPC Toolbox.

I think the  Camacho's book is very good.

Camacho, Eduardo F., and Carlos Bordons Alba. Model predictive control. Springer Science & Business Media, 2013.

I would recommend:

"Model predictive Control: Theory and Design", by Rawlings and Mayne, Nob Hill Publishing, 2013 (available online)

"Model-based predictive control: a practical approach", by Rossiter, CRC Press, 2003

I completely agree with Sylvain Bertrand. The book of Prof. Rawlings and Prof. Mayne is an excellent and relatively updated book for MPC researchers and practitioners. Nevertheless, I would rather pick a different book to start since this book could be tough at the beginning. In this sense you could use the book of Rossiter or the book of Camacho.

Hello.

Maybe this PDF will help you ( '' Model Predictive Control '' )  edited by Tao ZHENG :

Thank you.

(1) Usually the lecture notes can help us understand the basic concepts of new theory more  quickly.

[Gawthrop08] Peter Gawthrop, "From Smith's predictor to model-based predictive control," Lecture Notes, University of Glasgow, 2008. Available from the following link.

http://www.dei.unipd.it/~picci/Files/TEACHING/CONTROLLO_DEI_PROCESSI/SmithPredictor/gawthrop.pdf

Only Smith Predictor and PID Control were listed in the “Leaders of the Pack” InTech’s 50 most influential industry innovators since 1774. Available from the following link.

http://archive.today/2RoSK

Otto J.M. Smith and Smith Predictor

PID Control was listed twice (the dominant control method in the industrial applications) -- (1) John G. Ziegler and Nathaniel B. Nichols and classical PID Control; (2) Karl Johan Astrom and modern PID Control (IEEE Medal of Honor, 1993).

[Bemporad09] A. Bemporad, "Model Predictive Control: Basic Concepts," Lecture Notes, Controllo di Processo e dei Sistemi di Produzione, 2009. Available from the following link.

http://www.seas.upenn.edu/~ese680/papers/IntroductionMPC.pdf

Bemporad states that "Unconstrained linear MPC is nothing else than a standard linear state-feedback law!"

The paper [HY07] applies a standard linear state-feedback law for Internet congestion control.

[HY07] Y. Hong and O.W.W. Yang, "Self-Tuning Optimal PI Rate Controller for End-to-End Congestion With LQR Approach," Proceedings of 20th International Teletraffic Congress (ITC-20), Ottawa, Canada, June 2007, pp.829-840. Available from the following RG Link.

http://www.researchgate.net/publication/221584579_Self-tuning_Optimal_PI_Rate_Controller_for_End-to-End_Congestion_With_LQR_Approach

The technical report [Hong99] presents a general control system design based on the standard linear state-feedback law.

[Hong99] Y. Hong, “The Controller Design For Linear System: A State Space Approach,” Technical Report, National University of Singapore, November 1999. DOI: 10.13140/RG.2.2.21548.21120/1 Available from the following RG link.

Preprint The Controller Design For Linear System: A State Space Approach

(2) The textbook [RM15] suggested by Sylvain Bertrand, Ahmed Chemori and Martin Gulan can be downloaded from the following link.

http://jbrwww.che.wisc.edu/home/jbraw/mpc/

[RM15] J.B. Rawlings and D.Q. Mayne, "Model predictive Control: Theory and Design", 5th Edition, Nob Hill Publishing, LLC, 2015.

To celebrate the golden anniversary, The International Federation of Automatic Control (IFAC) Automatica has published in the 50th volume throughout the year 2014, special survey/overview papers, on selected topics, some tracing the history on some mature topics and areas, others focusing on newly emerging areas, with forecasts into the future.

D.V. Mayne, the second author the textbook [RM15], published a survey paper in December 2014.

[Mayne14] D.Q. Mayne, "Model predictive control: Recent developments and future promise," Automatica, 50(12), December 2014, pp. 2967-2986.

http://www.sciencedirect.com/science/article/pii/S0005109814005160

The other 11 survey/overview papers can be found in the following RG question.

What are the open problems in control theory?

https://www.researchgate.net/post/What_are_the_open_problems_in_control_theory

Conference Paper Self-tuning Optimal PI Rate Controller for End-to-End Conges...

Deleted research item The research item mentioned here has been deleted

thank you evryone..for spending your valuable time for answering my question..

it was really helpful

Can anybody provide me a link to get this book: "Practical Design and Application of Model Predictive Control"

Dear Sharmin

Find attached two books for predictive control that may help you.

Best wishes

thanks Mehdi

I think these ones are gonna help me.

Can someone share this book please

E. F. Camacho and C. B. Alba, Model Predictive Control.

Springer Science & Business Media, 2013.

Probably one of the best book about MPC is:

J. Rodriguez and P. Cortes. Predictive Control of Power Converters and Electrical Drives. Chichester, UK: Wiley-IEEE Press, 2012

Dear Sharmin Ahmed ;

Some interesting papers dealing with that would be:

1- Advanced process control systems

B.R. Mehta, Y.J. Reddy, in Industrial Process Automation Systems, 2015

2- Automation technology in hydrocarbon fuel processing plant

El FerikS. , in Advances in Clean Hydrocarbon Fuel Processing, 2011

3- A Survey of Recent Developments and Requirements for Modern Power System Control

Panayiotis Moutis, Jay Whitacre, in Pathways to a Smarter Power System, 2019

Best regards

Also there are these videos:

https://www.mathworks.com/videos/series/understanding-model-predictive-control.html

Best regards

Dear Fellows,Why there isn't any one who can share or guide the step by step tutoiral of MPC using MATLAB..????