Can I read Model Predictive Control: Theory, Computation, and Design, 2nd Edition on EtoBox?

Model Predictive Control: Theory, Computation, and Design, 2nd Edition by Rawlings, James B.; Mayne, David Q.; Diehl, Moritz M. is a nonfiction available to read on EtoBox.

What is Model Predictive Control: Theory, Computation, and Design, 2nd Edition about?

In the eight years since the publication of the first edition, the fieldof model predictive control (MPC) has seen tremendous progress. Firstand foremost, the algorithms and high-level software available for solving challenging nonlinear optimal control problems have advanced significantly. For this reason, we have added a new chapter, Chapter 8,“Numerical Optimal Control,” and coauthor, Professor Moritz M. Diehl.This chapter gives an introduction into methods for the numerical solution of the MPC optimization problem. Numerical optimal controlbuilds on two fields: simulation of differential equations, and numerical optimization. Simulation is often covered in undergraduate coursesand is therefore only briefly reviewed. Optimization is treated in muchmore detail, covering topics such as derivative computations, Hessianapproximations, and handling inequalities. Most importantly, the chapter presents some of the many ways that the specific structure of optimal control problems arising in MPC can be exploited algorithmically.We have also added a software release with the second edition ofthe text. The software enables the solution of all of the examples andexercises in the text requir

Who reads Model Predictive Control: Theory, Computation, and Design, 2nd Edition?

Author

Rawlings, James B.; Mayne, David Q.; Diehl, Moritz M.

Publisher

Nob Hill Publishing, LLC

Published

2017

Language

EN

ISBN

9780975937730

Category

nonfiction

Subjects

Mathematics, Automatic Control Theory, Stem

Updated

2026-03-24