摘要：AbstractThis paper investigates closed-loop stability of linear discrete-time plants subject to bounded disturbances when controlled according to packetized predictive control (PPC) policies. In the considered feedback loop, the controller is connected to the actuator via a digital communication channel imposing bounded dropouts. Two PPC strategies are taken into account. In both cases, the control packets are generated by solving sparsity-promoting optimization problems. One is based upon anl2-constrained£°optimization problem. Such problem is relaxed by anl1- l2optimization problem in the other sparse PPC setting. We show that thel2-constrained£°sparse PPC and unconstrainedl1- l2sparse PPC render system states bounded if the design parameters satisfy certain conditions. The bounds we derive on states are increasing with respect to the disturbance magnitude. We illustrate the results via simulation.
关键词：KeywordsNetworked Control SystemsSparse Packetized Predictive ControlDisturbance
