@inbook{8f116d74f03d4de5902ba657162c2442,
title = "Fuzzy resilient energy-to-peak filter design for continuous-time nonlinear systems",
abstract = "This chapter deals with the problem of resilient energy-to-peak filtering for a class of uncertain continuous-time nonlinear systems. To describe the nonlinear systems, the Takagi-Sugeno (T-S) fuzzy model with norm-bounded uncertainties is employed. By using a two-step approach, two new sufficient design conditions for the resilient filter are presented in terms of solutions to a set of linear matrix inequalities (LMIs), which guarantee the asymptotical stability and the prescribed energy-to-peak performance of the filtering error system. In contrast to the existing results for resilient energy-to-peak filter design, this chapter is toward all filter matrices with gain variations and improves the existing results. An example is provided to demonstrate the rationality of the theoretical results.",
keywords = "Continuous-time nonlinear systems, Energy-to-peak filtering, Nonfragility, T-S fuzzy systems",
author = "Park, \{Ju H.\} and Hao Shen and Chang, \{Xiao Heng\} and Lee, \{Tae H.\}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2019.",
year = "2019",
doi = "10.1007/978-3-319-96202-3\_7",
language = "English",
series = "Studies in Systems, Decision and Control",
publisher = "Springer International Publishing",
pages = "119--139",
booktitle = "Studies in Systems, Decision and Control",
}