书目名称 | Stability Analysis and Nonlinear Observer Design using Takagi-Sugeno Fuzzy Models |
编辑 | Zsófia Lendek,Thierry Marie Guerra,Bart Schutter |
视频video | |
概述 | State of the art of designing fuzzy observers.Written by leading experts.Provides a range of methods and tools to design observers for nonlinear systems |
丛书名称 | Studies in Fuzziness and Soft Computing |
图书封面 |  |
描述 | Many problems in decision making, monitoring, fault detection, and control require the knowledge of state variables and time-varying parameters that are not directly measured by sensors. In such situations, observers, or estimators, can be employed that use the measured input and output signals along with a dynamic model of the system in order to estimate the unknown states or parameters. An essential requirement in designing an observer is to guarantee the convergence of the estimates to the true values or at least to a small neighborhood around the true values. However, for nonlinear, large-scale, or time-varying systems, the design and tuning of an observer is generally complicated and involves large computational costs. This book provides a range of methods and tools to design observers for nonlinear systems represented by a special type of a dynamic nonlinear model -- the Takagi--Sugeno (TS) fuzzy model. The TS model is a convex combination of affine linear models, which facilitates its stability analysis and observer design by using effective algorithms based on Lyapunov functions and linear matrix inequalities. Takagi--Sugeno models are known to be universal approximators an |
出版日期 | Book 2011 |
关键词 | Fuzziness; Takagi-Sugeno fuzzy observers; Takagi-Sugeno fuzzy systems; adaptive observer; distributed ob |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-642-16776-8 |
isbn_softcover | 978-3-642-26567-9 |
isbn_ebook | 978-3-642-16776-8Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
issn_series | 1434-9922 |
copyright | Springer-Verlag Berlin Heidelberg 2011 |