A New Design of Model Predictive Tracking Control for Networked Control System Under Random Packet Loss and Uncertainties

Abstract

In order to deal with the networked control system (NCS) under random packet loss and uncertainties, an improved model predictive tracking control is provided in this paper. In the proposed control strategy, a novel state space model is introduced, where, unlike the conventional state space models, the tracking error and the state variables are combined and optimized together. Based on the improved state space model, more design degrees can be provided and better control performance can be acquired. A classical angular positioning system with uncertainties and a NCS with packet loss are introduced to illustrate the effectiveness of the proposed model predictive tracking control strategy, at the same time, the conventional model predictive control (MPC) approach is introduced as comparisons.