Model Predictive Control: Theory, Computation, and Design 2nd Edition by James B. Rawlings, David Q. Mayne, Moritz M. Diehl – Ebook PDF Instant Download/DeliveryISBN: 0975937782, 978-0975937785
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ISBN-10 : 0975937782
ISBN-13 : 978-0975937785
Author: James B. Rawlings, David Q. Mayne, Moritz M. Diehl
In the eight years since the publication of the first edition, the field of model predictive control (MPC) has seen tremendous progress. First and 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 control builds on two fields: simulation of differential equations, and numerical optimization. Simulation is often covered in undergraduate courses and is therefore only briefly reviewed. Optimization is treated in much more detail, covering topics such as derivative computations, Hessian approximations, 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 of the text. The software enables the solution of all of the examples and exercises in the text requiring numerical calculation. The software is based on the freely available CasADi language, and a high-level set of Octave/MATLAB functions, MPCTools, to serve as an interface to CasADi. These tools have been tested in several MPC short courses to audiences composed of researchers and practitioners.
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Predictive Control,Theory,Computation,Design,James Rawlings,David Mayne,Moritz Diehl