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Remote Estimation for Markov Jump Linear Systems: A Distributionally Robust Approach
Ioannis Tzortzis, Themistoklis Charalambous, Charalambos D. Charalambous
This paper considers the problem of remote state estimation for Markov jump linear systems in the presence of uncertainty in the posterior mode probabilities. Such uncertainty may…
Rollout-Based Approximate Dynamic Programming for MDPs with Information-Theoretic Constraints
Zixuan He, Charalambos D. Charalambous, Photios A. Stavrou
This paper studies a finite-horizon Markov decision problem with information-theoretic constraints, where the goal is to minimize directed information from the controlled source pr…
Remote Estimation over Packet-Dropping Wireless Channels with Partial State Information
Ioannis Tzortzis, Evagoras Makridis, Charalambos D. Charalambous +1
In this paper, we study the design of an optimal transmission policy for remote state estimation over packet-dropping wireless channels with imperfect channel state information. A…