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Secure state estimation over Markov wireless communication channels (extended version)
This note studies state estimation in wireless networked control systems with secrecy against eavesdropping.
Learning Markov models of fading channels in wireless control networks: a regression trees based approach
Finite-state Markov models are widely used for modeling wireless channels affected by a variety of non-idealities, ranging from shadowing to interference.
Sufficient Lyapunov conditions for exponential mean square stability of discrete-time systems with markovian delays (extended version)
This paper introduces sufficient Lyapunov conditions guaranteeing exponential mean square stability of discrete-time systems with markovian delays.
NeurOpt: Neural network based optimization for building energy management and climate control
Model predictive control (MPC) can provide significant energy cost savings in building operations in the form of energy-efficient control with better occupant comfort, lower peak demand charges, and risk-free participation in demand response.
