Comparison of Three Data-Driven Networked Predictive Control Methods for a Class of Nonlinear Systems

Zhong-Hua Pang, Xue-Ying Zhao, Jian Sun, Yuntao Shi, Guo-Ping Liu

Abstract: Dear Editor, In this letter, in order to deal with random network delays and packet losses in a class of networked nonlinear systems, three data-driven networked predictive control methods are designed. Their closed-loop systems and control increments are derived, respectively. Although the expressions of their control increments are obviously different, they are similar in form and composition, which are helpful to evaluate the effects of control actions. A comparison of the control performance of the three methods is carried out by a simulation example so as to show their advantages and disadvantages.