Robust Control-Oriented Linear Fractional Transform Modelling - Tamal Roy, Ranjit Kumar Barai

Robust Control-Oriented Linear Fractional Transform Modelling (eBook)

Applications for the µ-Synthesis Based H∞ Control
eBook Download: PDF
2023 | 1st ed. 2023
XI, 161 Seiten
Springer Nature Singapore (Verlag)
978-981-19-7462-5 (ISBN)
Systemvoraussetzungen
160,49 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

This book covers a new paradigm of system modeling - the robust control-oriented linear fractional transformation (LFT) modeling. A dynamic system expressed in LFT modeling framework paves the way for the application of modern robust controller design technique like µ-synthesis method for controller design. This book covers the generalized robust control-oriented LFT modeling representation of the MIMO system depending upon the uncertainty structure, system dynamics, and the dimensions of the input-output. The modeling framework results into a compact and manageable representation of uncertainty modeling in the form of feedback-like structure that is suitable for design and implementation of the robust control technique like µ-synthesis-based H8 control theory. This book also describes the application of the proposed methodology in a variety of advanced mechatronic systems like the Twin Rotor MIMO system, wheeled mobile robot, and an industrial robot arm.



Dr. Tamal Roy received his Bachelor's degree in Electrical Engineering from the West Bengal University of Technology, Kolkata, 2005. He received his Master in Mechatronics Engineering from the National Institute of Technical Teachers Training and Research, Kolkata, in 2008, and completed his Ph.D. from Jadavpur University in 2016. In 2008, he joined the Department of Electrical Engineering at Hooghly Engineering and Technology College as a Lecturer. Since 2011, he has been working as an assistant professor in the Electrical Engineering Department of MCKV Institute of Engineering and presently is working as the head of the Department. His current research interests include adaptive control, uncertainty modeling, system identification, and robust control of nonlinear systems.

Dr. Ranjit Kumar Barai graduated in Bachelor of Electrical Engineering in 1993 and Master of Electrical Engineering in 1995 from Jadavpur University, India, and Ph.D. in Artificial Systems Science (with specialization in Mechatronics and Robotics) in 2007 from Chiba University, Japan. He has performed post-doctoral research at Rolls-Royce Corporate Laboratory at Nanyang Technological University, Singapore, in 2015-16 on robotized manufacturing. He is now a professor in the Control Systems Division, Department of Electrical Engineering, Jadavpur University. He has more than 20 years of working experience in industry, research, and teaching at graduate and post-graduate levels. His research interests include mechatronics, robotics, control systems, machine learning and soft-computing, modeling and system identification, and real-time systems. 


This book covers a new paradigm of system modeling - the robust control-oriented linear fractional transformation (LFT) modeling. A dynamic system expressed in LFT modeling framework paves the way for the application of modern robust controller design technique like ?-synthesis method for controller design. This book covers the generalized robust control-oriented LFT modeling representation of the MIMO system depending upon the uncertainty structure, system dynamics, and the dimensions of the input-output. The modeling framework results into a compact and manageable representation of uncertainty modeling in the form of feedback-like structure that is suitable for design and implementation of the robust control technique like ?-synthesis-based Hinfinity control theory. This book also describes the application of the proposed methodology in a variety of advanced mechatronic systems like the Twin Rotor MIMO system, wheeled mobile robot, and an industrial robot arm.
Erscheint lt. Verlag 3.1.2023
Reihe/Serie Studies in Systems, Decision and Control
Studies in Systems, Decision and Control
Zusatzinfo XI, 161 p. 96 illus., 95 illus. in color.
Sprache englisch
Themenwelt Technik Bauwesen
Technik Elektrotechnik / Energietechnik
Schlagworte H∞ control • Linear Fractional Transform • Modelling • Robust Control-Oriented Modelling • μ-synthesis
ISBN-10 981-19-7462-4 / 9811974624
ISBN-13 978-981-19-7462-5 / 9789811974625
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 6,0 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
Grundlagen der Berechnung und baulichen Ausbildung von Stahlbauten

von Jörg Laumann; Markus Feldmann; Jörg Frickel …

eBook Download (2022)
Springer Fachmedien Wiesbaden (Verlag)
119,99