Model predictive control under event-triggered communication scheme for nonlinear networked systems

The paper studies the problem of event-triggered H-2/H-infinity model predictive control (MPC) for nonlinear networked control systems (NCSs) with bandwidth limitation and packet loss. The nonlinear system is described by the interval type-2 Takagi-Sugeno (IT-2 T-S) fuzzy model. To reduce the communication bandwidth utilization, an event-triggered communication scheme is presented to determine the transmission of the latest sampled state. The unreliable networks with packet loss are described by stochastic variables which satisfy Bernoulli binomial distribution. This paper aims at designing a fuzzy predictive controller to make the resulting closed-loop system stochastically stable with H-2/H-infinity the H-infinity performance satisfied. An online optimization MPC problem is formulated to optimize a H-2 performance index while the performance index is prescribed. We provide a numerical example to illustrate the validity of the presented technique. (C) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.