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Titlebook: Repetitorium Internistische Intensivmedizin; Guido Michels,Matthias Kochanek Book 20101st edition Springer-Verlag Berlin Heidelberg 2010 A

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31#
發(fā)表于 2025-3-26 21:01:57 | 只看該作者
32#
發(fā)表于 2025-3-27 01:45:12 | 只看該作者
Matthias Kochanek,Guido Michelsended Kalman filter, based on the same idea of parameters’ weighting. We show that the Kalman filter is an effective tool in the identification of TS fuzzy model. An illustrative example of an inverted pendulum is chosen to evaluate the robustness and remarkable performance of the proposed method lo
33#
發(fā)表于 2025-3-27 05:17:16 | 只看該作者
Guido Michels,Matthias Kochanekended Kalman filter, based on the same idea of parameters’ weighting. We show that the Kalman filter is an effective tool in the identification of TS fuzzy model. An illustrative example of an inverted pendulum is chosen to evaluate the robustness and remarkable performance of the proposed method lo
34#
發(fā)表于 2025-3-27 11:08:22 | 只看該作者
35#
發(fā)表于 2025-3-27 14:06:01 | 只看該作者
36#
發(fā)表于 2025-3-27 20:24:14 | 只看該作者
ch include a large number of researchers in the field of fuzzy logic and control. The central topic of the book, Fuzzy Control, is one of the main research and development lines covered by these associations.978-94-6239-082-9Series ISSN 1875-7650 Series E-ISSN 2215-1710
37#
發(fā)表于 2025-3-28 00:34:41 | 只看該作者
Guido Michels,Uta C. Hoppets. Recently, model-reference adaptive control based on fuzzy basis function networks has been proposed as an alternative method to solve the above problems [.], [.], [.], but the emphasis has been placed on the single-input single-output (SISO) plants.
38#
發(fā)表于 2025-3-28 04:54:19 | 只看該作者
Guido Michelsd in [.,.]. A fuzzy basis function vector-based adaptive control scheme for control of multipleinput multiple-output. (MIMO) systems with square and nonsquare nonlinearity is proposed in [.,.]. An observer-based adaptive fuzzy-neural control scheme is proposed in [.]. In those studies, the upper bou
39#
發(fā)表于 2025-3-28 09:56:23 | 只看該作者
Guido Michels,Jessica Mertens,Hans-Michael Steffen,Natalie Jasperstance measure, clustering with linear prototypes, and fuzzy regression clustering. Section 3.6 presents the approach known as possibilistic clustering. Section 3.7 addresses the determination of an appropriate number of clusters and Section 3.8 deals with pre-processing of the data. The aim of this
40#
發(fā)表于 2025-3-28 10:46:58 | 只看該作者
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