Some of our work on smarter cities has given rise to really interesting theoretical problems. Some of these relate to signalling challenges to orchestrate the behaviour of an ensemble of agents, all of which have probabilistic intent, and to alleviate the effects of feedback on prediction systems.
Some of this work can be found in the following publications.
On the Ergodic Control of Ensembles, Automatica, Accepted, 2019.
Nonhomogeneous Place-Dependent Markov Chains, Unsynchronized AIMD, and Network Utility Maximization, Journal of the ACM, Accepted, 2019.
Digital Ledger Technology, Smart Cities, Sharing Economy and Social Compliance, IEEE Access, Accepted, 2018.
On Classical Control and Smart Cities
Nonhomogeneous place-dependent markov chains, unsynchronised AIMD, and network utility maximization
Smart Cities: A golden age for control theory, IEEE Technology and Society Magazine, 2016
r-extreme signalling for congestion control, International Journal of Control, Accepted, pp. 1972-1984, March 2016.
Signaling and obfuscation for congestion control, International Journal of Control, 88(1), pp. 2086-2096, 2015.
On closed loop bike availability prediction, Schlote, IEEE Transactions on Intelligent Transportation Systems, Vol. 16(3), pp. 1449-1455, 2014.
Delay Tolerant Stochastic Algorithms for Parking Space Assignment, Schlote, A, IEEE Transactions on Intelligent Transportation Systems, Vol 15(5), 1922-1935, 2014.
Stochastic park-and-charge balancing for fully electric and plug-in hybrid vehicles, IEEE Transactions on Intelligent Transportation Systems, Vol 15 (2), pp. 895-901, 2014.
On the Design of Campus Parking Systems with QoS guarantees, IEEE Transactions on Intelligent Transportation Systems, 17(5), pp. 1428-1439, 2016