Non-monotonic Approach to Robust H? Control of Multi-model Systems
Idioma: inglés
Editorial: Elsevier Inc, 2019
Serie: Libro 5 de 24 - Emerging Methodologies and Applications in Modelling, Identification and Control
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Non-monotonic Approach to Robust H? Control of Multi-model Systems | Jiwe Wen | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2019 | Elsevier Inc | EAN 9780128148686 | Verantwortliche Person für die EU: Elsevier B.V., Radarweg 29, 1043 NX AMSTERDAM, NIEDERLANDE, productsafety[at]elsevier[dot]com | Anbieter: preigu.
N° de ref. del artículo 126702078
- Título
- Non-monotonic Approach to Robust H? Control of Multi-model Systems
- Autor
- Jiwe Wen
- Editorial
- Elsevier Inc
- Año de publicación
- 2019
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 10
- 0128148683
- ISBN 13
- 9780128148686
- Peso del artículo
- 307 gramos
- Dimensiones
- 229 x 152 x 12 mm
- Serie
- Libro 5 de 24: Emerging Methodologies and Applications in Modelling, Identification and Control
- Catálogos de vendedores
- Bücher
Non-monotonic Approach to Robust H8 Control of Multi-model Systems focuses on robust analysis and synthesis problems for multi-model systems based on the non-monotonic Lyapunov Functionals (LFs) approach that enlarges the stability region and improves control performance. By fully considering the diversity of switching laws, the multi-step time difference, the multi-step prediction, and the expansion of system dimension, the non-monotonic LF can be properly constructed. The focus of this book is placed on the H8 state feedback control, H8 filtering and H8 output feedback control for multi-model systems via a non-monotonic LF approach.
The book's authors provide illustrative examples to show the feasibility and efficiency of the proposed methods, along with practical examples that demonstrate the effectiveness and potential of theoretical results.
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Acerca del autor
Alireza Nasiri holds a PhD degree from the University of Auckland, New Zealand. He is currently Assistant Professor in the Department of Electrical and Computer Engineering at Hormozgan University and vice president of Hormozgan Science and Technology Park, Iran. He received his B.Sc. and M.Sc. degrees in electrical engineering from the University of Tehran and Iran University of Science and Technology, respectively. His research interests are nonlinear control, fuzzy control, H∞ control, active noise control and fault tolerant control.
Sing Kiong Nguang is a professor with the Department of Electrical and Computer Engineering at the University of Auckland, Auckland, New Zealand. He received the B.E. (with first class honors) and the Ph.D. degree from the Department of Electrical and Computer Engineering at the University of Newcastle, Callaghan, Australia, in 1992 and 1995, respectively. He has published over 300 refereed journal and conference papers on nonlinear control design, nonlinear control systems, nonlinear time delay systems, nonlinear sampled-data systems, networked control systems, biomedical systems modelling, fuzzy modeling and control, biological systems modelling and control, and food and bio-product processing. He has/had served on the editorial board of a number of international journals. He is the Chief-Editor of the International Journal of Sensors, Wireless Communications and Control.
Dhafer J. Almakhles received the B.E. degree from the department of Electrical Engineering of King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, in 2006 and the Master’s (Hons.) degree from the University of Auckland, Auckland, New Zealand, in 2011. He completed his Ph.D. degree in 2016 from the University of Auckland. During his PhD, he managed to publish and submit high quality journal and conference papers and one book chapter. Currently, he is Assistant Professor at the Department of Communication and Networks Engineering and the coordinator of renewable energy research unit, Prince Sultan University, Riyadh, Saudi Arabia. His research interests include networked, event-triggered and quantized control systems, nonlinear control system, sliding mode control and real-time implementations on FPGA.
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