In this paper we analyze model-based networked control systems for a discrete-time nonlinear plant model, operating in the presence of stochastic dropout of state observations. The dropout is modeled as a Markov chain, and sufficient conditions for finite-time stochastic stability are provided using the stochastic version of Lyapunov second method. In a companion paper we model the dropout as a deterministic sequence.
Proceedings of the 2005 IEEE International Symposium on Intelligent Control
Communication system control, Computer aided software engineering, Control systems
Abdallah, Chaouki T.; S. Mastellone; and P. Dorato. "Model-based networked control for finite-time stability of nonlinear systems: the stochastic case." Proceedings of the 2005 IEEE International Symposium on Intelligent Control (2005): 1091-1096. doi:10.1109/.2005.1467167.