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This paper focuses on the sensor fault estimation problem for a class of nonlinear networked systems. Based on the networked orthogonal principle, the networked strong tracking filter-separate bias estimation algorithm is derived, which can deal with fault estimation problem in a networked environment with multiple packet dropout rates. We can also get the estimation of system states and sensor fault...
This paper is concerned with the robust Hinfin filtering problem for a class of uncertain nonlinear networked systems with both multiple stochastic time-varying communication delays and multiple packet dropouts. The discrete-time system under consideration is also subject to parameter uncertainties, state-dependent stochastic disturbances and sector-bounded nonlinearities. Sufficient conditions are...
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