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The estimation problem for a class of non-uniform sampling linear stochastic systems with missing measurements is considered, where the state is updated uniformly and the sensor non-uniformly samples the measurement once at most in a state update period. By using innovation analysis approach, the optimal state estimators are designed at the state update points and measurement sampling points based...
This paper addresses the information fusion state estimation problem for multisensor stochastic uncertain systems with missing measurements and unknown measurement disturbances. The missing measurements of sensors are described by Bernoulli distributed random variables. Measurements of sensors are subject to external disturbances whose any prior information is unknown. Stochastic parameter uncertainties...
This paper is concerned with the design problem of multi-sensor optimal H∞ fusion controller for a class of discrete-time systems with missing measurements. Based on Lyapunov theory and linear matrix inequality technology, the centralized and distributed fusion controllers are designed, respectively such that, for all possible missing measurements, the closed-loop systems are asymptotically stable...
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