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Modeling and control design of modern complex systems entail an appreciable degree of uncertainty due to modeling approximations, noise and tolerances in components, random effects, parametric errors and other changes. Probabilistic approaches to complex control systems often lead to linear ordinary differential/difference equations with multiplicative and additive noise. The characteristics of such...
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