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Closed-loop control with delayed information (1992).
| Content Provider | CiteSeerX |
|---|---|
| Author | Altman, Eitan Nain, Philippe |
| Abstract | The theory of Markov Control Model with Perfect State Information (MCM-PSI) requires that the current state of the system is known to the decision maker at decision instants. Otherwise, one speaks of Markov Control Model with Imperfect State Information (MCM-ISI). In this article, we introduce a new class of MCM-ISI, where the information on the state of the system is delayed. Such an information structure is encountered, for instance, in high-speed data networks. In the first part of this article, we show that by enlarging the state space so as to include the last known state as well as all the decisions made during the travel time of the information, we may reduce a MCM-ISI to a MCM-PSI. In the second part of this paper, this result is applied to a flow control problem. Considered is a discrete time queueing model with Bernoulli arrivals and geometric services, where the intensity of the arrival stream is controlled. At the beginning of slot t+1, t = 0; 1; 2; : : :, the decision make... |
| File Format | |
| Publisher Date | 1992-01-01 |
| Access Restriction | Open |
| Subject Keyword | Delayed Information Closed-loop Control Markov Control Model Second Part Imperfect State Information State Space First Part Travel Time Discrete Time Information Structure Geometric Service Last Known State Current State New Class High-speed Data Network Decision Maker Bernoulli Arrival Perfect State Information Decision Instant Arrival Stream Flow Control Problem |
| Content Type | Text |
