State estimation of vehicles via asynchronous ICA filtering and sensor networks

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This work proposes a design method￡or state estimation where many sensors collaborate via networks but some of them indicate outliers from time to time. In this method, we propose a mechanism called switching observer that continues correct state estimation by complimentary use of other sensor signals. We have examined its effectiveness by means of both simulation and experiment. A robust estimation is achieved by setting a common Lyapunov function and switched Lyapunov functions for designing the switching observer. Furthermore, we have also made a progress in heat capacity estimation by making full use of multivariate analysis techniques from a practical point of view.