Title : 
The optimum stochastic control for a problem with random cost incursion times
         
        
        
            Author_Institution : 
Analysis and Technology, Incorporated, North Stonington, CT, USA
         
        
        
        
        
            fDate : 
10/1/1986 12:00:00 AM
         
        
        
        
            Abstract : 
A sequential stochastic control problem is considered in which the performance criterion cost is incremented periodically at random times. Although these cost incursion times are unknown, they are governed by a known prior probability density function. The optimum Bayesian control decision strategy is obtained by solving the stochastic dynamic programming equation. As anticipated, the solution exhibits a type of separation principle.
         
        
            Keywords : 
Bayes procedures; Discrete-time systems; Dynamic programming; Stochastic optimal control, linear systems; Bayesian methods; Cost function; Data mining; Dynamic programming; Equations; Monitoring; Observers; Probability density function; Stochastic processes; Vectors;
         
        
        
            Journal_Title : 
Automatic Control, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/TAC.1986.1104135