In this work we focus on distributed model predictive control mpc schemes. This book was set in lucida using latex, and printed and bound by. Pdf distributed model predictive control refers to a class of predictive control. Distributed model predictive control for heterogeneous vehicle platoons under unidirectional topologies abstract. Pdf distributed model predictive control researchgate. Model predictive control distributed model predictive. Distributed model predictive control made easy request pdf.
In chapter 6, we have added a new section for distributed mpc of nonlinear. He has published five books and more than three hundred papers in journalsconferences, which describe his research accomplishments and interests in predictive control, distributed model predictive control, intelligent adaptive control, and fuzzy intelligent control and its application. Model predictive control college of engineering uc santa barbara. Distributed model predictive control mpc is one of the promising control methodologies. Distributed model predictive control made easy springerlink. Pdf on 35 approaches for distributed mpc made easy. Can anyone suggest me a book or tutorial for understanding. This paper presents a distributed model predictive control dmpc algorithm for heterogeneous vehicle platoons with unidirectional topologies and a priori unknown desired set point. This book provides a stateoftheart overview of distributed mpc approaches, while at the same time making clear directions of research that deserve more attention. View table of contents for distributed model predictive control for.
The core and rationale of 35 approaches are carefully explained. The paper considers distributed model predictive control mpc strategies that are appropriate for controlling largescale systems such as power systems. Distributed model predictive control for heterogeneous. Robust distributed model predictive control for systems of. This chapter introduces three model predictive control mpc algorithms. A novel robust distributed model predictive control algorithm is then developed for such parallel systems which deals explicitly with competitive couplings, competitive constraints and uncertainties. These three algorithms are very important and are the fundamental of the distributed predictive controls. Here are some examples of good books in model predictive control. Distributed model predictive control made easy guide books. Distributed model predictive control mpc is one of the promising control methodologies for control of such systems. Model predictive control provides high performance and safety in the form of constraint satisfaction. The overall system is decomposed into subsystems, each with its own mpc controller.
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