Title : 
A single sample path-based performance sensitivity formula for Markov chains
         
        
            Author : 
Cao, Xi-Ren ; Yuan, Xue-Ming ; Qiu, Li
         
        
            Author_Institution : 
Hong Kong Univ. of Sci. & Technol., Kowloon, Hong Kong
         
        
        
        
        
            fDate : 
12/1/1996 12:00:00 AM
         
        
        
        
            Abstract : 
Using a sample path approach, we derive a new formula for performance sensitivities of discrete-time Markov chains. A distinguished feature of this formula is that the quantities involved can be estimated by analyzing a single sample path of a Markov chain. Thus, the formula provides a new direction for sensitivity analysis and can be viewed as an extension of the perturbation realization theory to problems where infinitesimal perturbation analysis does not work well
         
        
            Keywords : 
Markov processes; control system analysis; matrix algebra; perturbation techniques; probability; sensitivity analysis; state-space methods; discrete-time Markov chains; performance sensitivity; perturbation realization theory; single sample path; state space; transition probability matrix; Analytical models; Equations; Information technology; Performance analysis; Q measurement; Sensitivity analysis; Steady-state; Stochastic systems; Telecommunications; Weight measurement;
         
        
        
            Journal_Title : 
Automatic Control, IEEE Transactions on