Stochastic Differential Systems: Lecture Notes in Control and Information Sciences, cartea 36

On optimal stopping times in operating systems.- Semimartingales defined on markov processes.- The expected value of perfect information in the optimal evolution of stochastic systems.- Some problems of large deviations.- On the behaviour of certain functionals of the wiener process and applications to stochastic differential equations.- Point processes and system lifetimes.- On weak convergence of semimartingales and point processes.- Ito formula in banach spaces.- General theorems of filtering with point process observations.- Existence of partially observable stochastic optimal controls.- On the generalization of the fefferman-garsia inequality.- Some remarks on the purely nondeterministic property of second order random fields.- The Hölder continuity of hilbert space valued stochastic integrals with an application to SPDE.- On the first integrals and liouville equations for diffusion processes.- An averaging method for the analysis of adaptive systems with small adjustment rate.- A-spaces associated with processes. Application to stochastic equations.- A martingale approach to first passage problems and a new condition for Wald's identity.- A taylor formula for semimartingales solving a stochastic equation.- On optimal sensor location in stochastic differential systems and in their deterministic analogues.- On first order singular bellman equation.- A limit theorem of solutions of stochastic boundary-initial-value problems.- Stochastic integration with respect to multiparameter Gaussian processes.- On L2 and non-L2 multiple stochastic integration.- Optimal stochastic control under reliability constraints.- On controlled semi-markov processes with average reward criterion.- Likelihood ratios and kalman filtering for random fields.