Abstract
The FMB control approach offers a systematic way to control nonlinear systems. Based on the TS fuzzy model, a nonlinear plant can be represented as a weighted sum of linear systems. This particular form offers a general and systematic framework to represent the nonlinear plant and provides an effective platform to facilitate stability analysis and controller synthesis. In the past two decades, FMB control systems have been extensively investigated, and flourish analysis results, particularly on the stability issue, have been obtained. Some relaxed LMI-based stability conditions were derived and introduced in Chapter 2.
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© 2011 Springer-Verlag Berlin Heidelberg
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Lam, HK., Leung, F.HF. (2011). Chapter 5 Stability Analysis of FMB Control Systems Using PDLF. In: Stability Analysis of Fuzzy-Model-Based Control Systems. Studies in Fuzziness and Soft Computing, vol 264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17844-3_5
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DOI: https://doi.org/10.1007/978-3-642-17844-3_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17843-6
Online ISBN: 978-3-642-17844-3
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