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Titlebook: Robust Filtering for Uncertain Systems; A Parameter-Dependen Huijun Gao,Xianwei Li Book 2014 Springer International Publishing Switzerland

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樓主: 戲弄
21#
發(fā)表于 2025-3-25 03:33:27 | 只看該作者
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發(fā)表于 2025-3-25 07:56:52 | 只看該作者
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發(fā)表于 2025-3-25 11:44:37 | 只看該作者
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發(fā)表于 2025-3-25 17:00:22 | 只看該作者
Robust Filtering for Continuous Time-Delay Systemsstate delay. By constructing a Lyapunov-Krasovskii functional and applying the free weighting matrix technique, a parameter-dependent condition in terms of linear matrix inequality (LMI) is derived first for the H-infinity filtering performance of the filtering error system. Then, by performing some
25#
發(fā)表于 2025-3-25 21:59:10 | 只看該作者
Robust Filtering for Discrete Time-Delay Systemsn a discrete-time Lyapunov-Krasovskii functional, a sufficient parameter-dependent linear matrix inequality (LMI) condition is established for the H-infinity filtering performance. Then a new performance analysis condition is obtained through introducing slack matrices, so as to decouple the product
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發(fā)表于 2025-3-26 01:50:29 | 只看該作者
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發(fā)表于 2025-3-26 08:16:02 | 只看該作者
Robust Estimation with Limited Communication Capacityenomena, that is, measurement quantization, data package dropout, and transmission delay, are considered simultaneously to characterize a communication network with limited communication capacity. First, a unified delay system model with norm-bounded uncertainty and two successive delay components i
28#
發(fā)表于 2025-3-26 11:49:49 | 只看該作者
Finite Frequency , Filtering for Time-Delay Systemscation is motivated by the fact that many practical signals have their energy within an FF range, while the standard H-infinity filter theory cannot directly handle this fact. Using the generalized Kalman-Yakubovich-Popov lemma and the Projection Lemma, delay-dependent and delay-independent FF bound
29#
發(fā)表于 2025-3-26 15:37:55 | 只看該作者
30#
發(fā)表于 2025-3-26 17:53:21 | 只看該作者
Robust Estimation with Limited Communication Capacityvatism are further proposed to cope with polytopic uncertainty. Finally, two numerical examples including simulation are employed to demonstrate the effectiveness of the proposed filter design method in this chapter.
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