Model predictive control for constrained networked systems subject to data losses

A networked-based receding horizon scheme for constrained LPV systems

“…The proposed method has been compared with the robust counterpart of [9] here referred as NCS-MPC and designed by exploiting the polytopic description of the unicycle model. In Fig.…”

“…In this paper, the main aim is to extend the networked control scheme of [9] to the LPV framework. As it is well known, the LPV system paradigm provides an interesting modeling framework which is capable to describe special classes of non-linear and/or time-varying dynamics.…”

“…[16,11,17]. Along these lines, a novel discrete time RHC strategy for NCSs described by uncertain polytopic linear models and subject to input/state constraints has been presented in [9] where it was assumed that the measurements and control commands, sent over the communication medium, were possibly subject to timevarying transmission delays and packet dropouts between the plant-to-controller connection and vice-versa.…”

Event‐triggered predictive control for networked control systems with network‐induced delays and packet dropouts

“…Moreover, the delays and packet dropouts are compensated to ensure performance of NCSs by a variety of methods . It is worth mentioning that networked predictive control (NPC) method is widely used in NCSs to effectively compensate network‐induced delays and packet dropouts . In the work of Liu et al, sufficient conditions for stabilization of NCSs are given in a situation that networks only exist in the feedback channel.…”

“…[10][11][12][13] It is worth mentioning that networked predictive control (NPC) method is widely used in NCSs to effectively compensate network-induced delays and packet dropouts. [14][15][16][17] In the work of Liu et al, 18 sufficient conditions for stabilization of NCSs are given in a situation that networks only exist in the feedback channel. Moreover, NCSs in the situation that networks exist in both feedback and forward channels are considered in the work of Li and Shi.…”