@conference {
	title = {Networked H$\infty$ Control with Minimum Directed Information},
	author = {Soleymani, Touraj., Hirche, Sandra., Baras, John S.},
	year = {2017},
	month = {12/2017},
	address = {Melbourne, Australia},
	booktitle = {56th IEEE Conference on Decision and Control (CDC 2017)}
}
@conference {
	title = {Event-Triggered Output-Feedback H$\infty$ Control with Minimum Directed Information},
	author = {Soleymani, Touraj., Hirche, Sandra., Baras, John S.},
	year = {2017},
	month = {12/2017},
	abstract = {In this paper, the H$\infty$ control problem with minimum information exchange between a plant and a remote controller is considered. For transmission of the measured outputs, an event-triggering mechanism is proposed. We measure the transferred information satisfying the causality condition by the directed information, and measure the H$\infty$ control performance by the L2-gain. We achieve the minimum directed information required for a guaranteed level of control performance. In particular, corresponding to the worst case disturbances, we develop a filter with a recursive variable, and show that the optimal control policy is a linear function of this recursive variable. Finally, we define the value of information, and determine the structure of the optimal sampling policy based on the value of information.
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	address = {Melbourne, Australia},
	booktitle = {56th IEEE Conference on Decision and Control (CDC 2017)},
	pages = {pp. 6088-6094}
}
@conference {
	title = {Value of Information in Minimum-Rate LQG Control},
	author = {Soleymani, Touraj., Hirche, Sandra., Baras, John S.},
	year = {2017},
	month = {07/2017},
	abstract = {This study concerns fundamental limitations in control of mobile cyber-physical systems. In these systems, communication between a node and its base station due to limited power of the node is asymmetrical in terms of bandwidth and signal-to-noise ratio. The framework we develop in this paper is for partially observed linear quadratic Gaussian (LQG) control over communication networks in which the forward channel transporting measurements is modeled by a zero-delay packet-deletion channel and the feedback channel transporting control inputs is assumed ideal. Making use of dynamic programming, we characterize the optimal control and the optimal sampling policies that achieve the minimum data rate required for a guaranteed level of control performance. In particular, we prove that in the presence of event driven sampling the adopted filter is optimal and the separation principle between control and estimation holds. We show that the optimal control policy is a certainty equivalent policy and the optimal sampling policy is a threshold policy expressed in terms of the value of information. Furthermore, we prove that the value of information is a quadratic function of the innovation.},
	address = {Toulouse, France},
	booktitle = {IFAC 2017 World Conference}
}
