Tekijä: Guang-Hong Yang; Xiang-Gui Guo; Wei-Wei Che; Wei Guan Kustantaja: Taylor & Francis Ltd (2017) Saatavuus: | Arvioimme, että tuote lähetetään meiltä noin 1-3 viikossa
Tekijä: Guang-Zhong Yang (ed.); David J. Hawkes (ed.); Daniel Rueckert (ed.); Alison Noble (ed.); Chris Taylor (ed.) Kustantaja: Springer (2009) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Guang-Zhong Yang (ed.); David J. Hawkes (ed.); Daniel Rueckert (ed.); Alison Noble (ed.); Chris Taylor (ed.) Kustantaja: Springer (2009) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Hongen Liao (ed.); P.J. Eddie Edwards (ed.); Xiaochuan Pan (ed.); Yong Fan (ed.); Guang-Zhong Yang (ed.) Kustantaja: Springer (2010) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Guang Gong (ed.); Tor Helleseth (ed.); Hong-Yeop Song (ed.); Kyeongcheol Yang (ed.) Kustantaja: Springer (2006) Saatavuus: Noin 17-20 arkipäivää
Taylor & Francis Inc Sivumäärä: 292 sivua Asu: Kovakantinen kirja Painos: 1 Julkaisuvuosi: 2013, 22.03.2013 (lisätietoa) Kieli: Englanti
Linear Systems: Non-Fragile Control and Filtering presents the latest research results and a systematic approach to designing non-fragile controllers and filters for linear systems. The authors combine the algebraic Riccati technique, the linear matrix inequality (LMI) technique, and the sensitivity analysis method to establish a set of new non-fragile (insensitive) control methods. This proposed method can optimize the closed-loop system performance and make the designed controllers or filters tolerant of coefficient variations in controller or filter gain matrices.
A Systematic Approach to Designing Non-Fragile Controllers and Filters for Linear Systems
The text begins with developments and main research methods in non-fragile control. It then systematically presents novel methods for non-fragile control and filtering of linear systems with respect to additive/multiplicative controller/filter gain uncertainties. The book introduces the algebraic Riccati equation technique to solve additive/multiplicative norm-bounded controller/filter gain uncertainty, and proposes a structured vertex separator to deal with the numerical problem resulting from interval-bounded coefficient variations. It also explains how to design insensitive controllers and filters in the framework of coefficient sensitivity theory. Throughout, the book includes numerical examples to demonstrate the effectiveness of the proposed design methods.
More Effective Design Methods for Non-Fragile Controllers and Filters
The design and analysis tools described will help readers to better understand and analyze parameter uncertainties and to design more effective non-fragile controllers and filters. Providing a coherent approach, this book is a valuable reference for researchers, graduate students, and anyone who wants to explore the area of non-fragile control and filtering.
