Data-driven controller design. The \(H_2\) approach.
type: Item
instance of: scholarly article
title: Data-driven controller design. The \(H_2\) approach.
zbMATH Open document ID: 1241.93001
DOI: 10.1007/978-94-007-2300-9
published in: Communications and Control Engineering
publication date: 2012-02-22T00:00:00Z
review text: This book presents an interesting \(H_2\) approach to data-driven control design. The practical application of the data-driven methodologies are illustrated with a large number of practical designs performed for different classes of processes. The book consists of 8 chapters. The basic definitions are recalled in chapter 1. In chapter 2, the statement of \(H_2\) design problem is given. The Virtual Reference Feedback Tuning (VRFT) method is presented in chapter 3. In chapter 4, a general review of optimization methods is given. The problem of convergence to the globally optimal controller is analyzed in chapter 5. The cost function shaping concept is presented in chapter 6. The computing aspects of the iterative feedback tuning, frequency domain tuning and correlation based-tuning are discussed in chapter 7. Some experimental results on different processes are presented in chapter 8. Simulation examples illustrate and explain the presented concepts. The monograph is intended for PhD students and researches in control engineering.
Mathematics Subject Classification ID: 93-02
Mathematics Subject Classification ID: 93B52
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93E35
zbMATH DE Number: 6008658
zbMATH Keywords: \(H_2\) approach
zbMATH Keywords: virtual reference feedback tuning (VRFT)
zbMATH Keywords: globally optimal controller
author: Alexandre Sanfelice Bazanella
author: Lucíola Campestrini
author: D. Eckhard
reviewed by: Tadeusz Kaczorek
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1007/978-94-007-2300-9
OpenAlex ID: W2497183556
description: scientific article; zbMATH DE number 6008658