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The switched filter and high-pass/low-pass networks are proposed in this article.
The minimization of H∞ norm for filtering error system by stable switched filter is investigated.
Moreover, an IT2 switched filter design strategy is proposed, which is switched by the values of membership functions.
This paper studies the problem of switched filter design for interval type-2 (IT2) fuzzy systems with sensor nonlinearities.
The proposed switched filter outperforms the ones available in the literature to date as far as the H2 norm of the estimation error is taken into account.
A convex optimization problem with some LMI constraints is formulated to design the stable switched filter which minimizes the H∞ norm bound for filtering error system.
Similar(52)
Two design methods for robust fault estimation using switched filters are proposed.
The exponential convergence rate of switched filtering error system without disturbance is positive and less than 1.
A switching rule depending on the filter states is designed, which, together with the filter, can guarantee that switched filtering error systems achieve asymptotic stability and with H∞ performance γ for all possible sensor failures.
The main theoretical implications of the switched filtering methodology in the framework of linear time-invariant uncertain systems and linear parameter-varying systems are discussed and illustrated by academical examples.
The performance of a switching filter is highly dependent on its detection accuracy.
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Justyna Jupowicz-Kozak
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