Abstract
In this paper, the finite memory structure (FMS) filter is applied for the estimation filtering of DC motor systems with temporary uncertainties. A couple of temporary uncertainties, model uncertainty and unknown input, are considered for the FMS filtering. Extensive computer simulations are performed for both nominal system and temporarily uncertain system. It is shown that the FMS filter can be better than the infinite memory structure (IMS) filter for temporary uncertainties. Of course, the IMS filter can outperform FMS filters after the effect of temporary uncertainties completely disappears. It is also shown that there can exist the trade-off between the estimation error and the tracking ability in terms of the window length.
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