Stochastic Differential Systems

M. Arato

ISBN 10: 3540110380 / ISBN 13: 9783540110385

Published by Springer Berlin Heidelberg, Springer Okt 1981, 1981

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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 H¿lder 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. 260 pp. Englisch.

Seller Inventory # 9783540110385

Bibliographic Details

• Title: Stochastic Differential Systems
• Publisher: Springer Berlin Heidelberg, Springer Okt 1981
• Publication Date: 1981
• Language: English
• ISBN 10: 3540110380
• ISBN 13: 9783540110385
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 244W x 170H x 15D millimeters 244 millimeters width by 170 millimeters height by 15 millimeters depth
• Weight: 455 grams

About this title

Synopsis

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.