Learn More
In this paper we propose a stochastic model predictive control (MPC) formulation based on scenario generation for linear systems affected by discrete multiplicative disturbances. By separating the problems of (1) stochastic performance, and (2) stochastic stabilization and robust constraints fulfillment of the closed-loop system, we aim at obtaining a less(More)
— In this paper, we study the stability of Networked Control Systems (NCSs) that are subject to time-varying transmission intervals, time-varying transmission delays, packet-dropouts and communication constraints. Communication constraints impose that, per transmission, only one sensor or actuator node can access the network and send its information. Which(More)
— The need for reduced-order approximations of dynamical systems emerges naturally in model-based control of very large-scale systems, such as those arising from the discreti-sation of partial differential equation models. The controller based on the reduced-order model, when in closed-loop with the large-scale system, ought to endow certain properties, in(More)
— Flexibility, ease of deployment and of spatial reconfiguration, and low cost make Wireless Sensor Networks (WSNs) fundamental component of modern networked control systems. However, due to the energy-constrained nature of WSNs, the transmission rate of the sensor nodes is a critical aspect to take into account in control design. Two are the main(More)