Description: Stability Analysis and Controller Design of Local Model Networks Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Christian Mayr Format: Paperback Publisher: Springer Fachmedien Wiesbaden, Germany Imprint: Springer Vieweg ISBN-13: 9783658340070, 978-3658340070 Synopsis This book treats various methods for stability analysis and controller design of local model networks (LMNs). LMNs have proved to be a powerful tool in nonlinear dynamic system identification. Their system architecture is more suitable for controller design compared to alternative approximation methods. The main advantage is that linear controller design methods can be, at least locally, applied and combined with nonlinear optimization to calibrate stable state feedback as well as PID controller. The calibration of stable state-feedback controllers is based on the closed loop stability analysis methods. Here, global LMIs (Linear Matrix Inequalities) can be derived and numerically solved. For LMN based nonlinear PID controllers deriving global LMIs is not possible. Thus, two approaches are treated in this book. The first approach works iteratively to get LMIs in each iteration step. The second approach uses a genetic algorithm to determine the PID controller parameters where for each individual the stability is checked. It allows simultaneous enhancement of (competing) optimization criteria.
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Book Title: Stability Analysis and Controller Design of Local Model Networks
Number of Pages: 111 Pages
Publication Name: Stability Analysis and Controller Design of Local Model Networks
Language: English
Publisher: Springer Fachmedien Wiesbaden
Item Height: 210 mm
Subject: Computer Science
Publication Year: 2021
Type: Textbook
Item Weight: 188 g
Author: Christian Mayr
Item Width: 148 mm
Format: Paperback