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Linear, continuous-time systems with stochastic uncertainties in their state-space model are considered. The problems of induced L∞ state-feedback control and filtering are solved, for the stationary case. In both problems, the cost function is defined to be the expected value of the standard induced L∞ performance index with respect to the uncertain parameters. An example that demonstrates the applicability of the theory is given.