The theory now in use for strong tracking filters as beveloped for use with nonlunlinear systems involving white noise, is extended to a class of nonlinear time-varying stochastic systcms with colored noise . A new concept of softening factor is introduced to make the state estimators much smoother. Effeveness of the proposed approach is illustrated by computer simulations .
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