A stochastic Model Predictive Control strategy for control systems with communication networks between the sensor node and the controller and between the controller and the actuator node is proposed. Data packets are subject to random delays and packet loss is possible; acknowledgments for received packets are not provided.The expected value of a quadratic cost is minimized subject to linear constraints; the set of all initial states for which the resulting optimization problem is guaranteed to be feasible is provided. The state vector of the controlled plant is shown to converge to zero with probability one.

This paper presents NetFlex, a MATLAB/ Simulink-based simulation framework for modeling and analysis of networked control systems. Based on a node-based architecture, NetFlex allows users to construct flexible network topologies while integrating customizable control and estimation strategies. By providing an intuitive and adaptable simulation environment, it enables researchers to evaluate the impact of network effects without the complexity of low-level network configurations. As an open-source project, NetFlex promotes collaboration and extensibility, offering a structured framework for studying distributed and communication-constrained control systems. The paper details its design, implementation and capabilities, demonstrating its effectiveness through a case study.