On the influence of noise on jump linear systems

Jump linear systems are considered in a random environment where they are subject to additive and multiplicative noises. Stochastic notions of stabilizability and detectability are introduced to characterize the asymptotic behavior of the optimal jump linear quadratic Gaussian regulator and a dual Kalman filter.