English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper is concerned with the partial information optimal control problemof mean-field type under partial observation, where the system is given by acontrolled mean-field forward-backward stochastic differential equation withcorrelated noises between the system and the observation, moreover theobservation coefficients may depend not only on the control process and butalso on its probability distribution. Under standard assumptions on thecoefficients, necessary and sufficient conditions for optimality of the controlproblem in the form of Pontryagin's maximum principles are established in aunified way.

Maximum Principle of Forward-Backward Stochastic Differential System of Mean-Field Type with Observation Noise