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MPC-Based Reference Governors: Theory and Case Studies (Advances in Industrial Control) by Martin Klaučo, Michal Kvasnica is a nonfiction available to read on EtoBox.

What is MPC-Based Reference Governors: Theory and Case Studies (Advances in Industrial Control) about?

This monograph focuses on the design of optimal reference governors using model predictive control (MPC) strategies. These MPC-based governors serve as a supervisory control layer that generates optimal trajectories for lower-level controllers such that the safety of the system is enforced while optimizing the overall performance of the closed-loop system. The first part of the monograph introduces the concept of optimization-based reference governors, provides an overview of the fundamentals of convex optimization and MPC, and discusses a rigorous design procedure for MPC-based reference governors. The design procedure depends on the type of lower-level controller involved and four practical cases are covered: * PID lower-level controllers; * linear quadratic regulators; * relay-based controllers; and * cases where the lower-level controllers are themselves model predictive controllers. For each case the authors provide a thorough theoretical derivation of the corresponding reference governor, followed by illustrative examples. The second part of the book is devoted to practical aspects of MPC-based reference governor schemes. Experimental and simulation case studies from four app

Who reads MPC-Based Reference Governors: Theory and Case Studies (Advances in Industrial Control)?

Author

Martin Klaučo, Michal Kvasnica

Publisher

Springer International Publishing : Imprint : Springer

Published

2019

Language

EN

ISBN

9783030174040

Category

nonfiction

Subjects

Engineering, Science, Chemistry