Bayesian estimation for decision-directed stochastic control

Stochastic processes with a decision-directed control are considered as controlled Markov processes, the state space of which is hybrid; i.e. a product of a discrete set and a Euclidean space. This approach yields a mathematical model for many problems of decision-directed stochastic control. In general, the observations made from the "past" and...

Human monitoring and control behaviour models and experiments

This report deals with a theoretical and experimental program concerning human monitoring and and control behaviour. A model for multivariable monitoring (an automatic approach) was tested against experimental data. Apart from monitoring, simultaneously monitoring and manual flight director control was studied to determine the interference...

A theoretical framework to study the effect of cockpit information

This paper deals with a theoretical framework describing human operator's participation in manned vehicle systems. Herewith, the human operator is described in terms commensurate with those used for other system elements, which is desirable because of the complex interaction between human functioning and his task environment (e.g. cockpit i...