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

• Published in: IEEE/CAA journal of automatica sinica Vol. 9; no. 9; pp. 1714 - 1716
• Main Authors: Pang, Zhong-Hua, Zhao, Xue-Ying, Sun, Jian, Shi, Yuntao, Liu, Guo-Ping
• Format: Journal Article
• Language: English
• Published: Piscataway Chinese Association of Automation (CAA) 01.09.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); Key Laboratory of Fieldbus Technology and Automation of Beijing,North China University of Technology,Beijing 100144,China%State Key Laboratory of Intelligent Control and Decision of Complex Systems,School of Automation,Beijing Institute of Technology,Beijing 100081,China%Center for Control Science and Technology,Southern University of Science and Technology,Shenzhen 518055,China
• Subjects: Control methods; Control systems; Feedback control; Nonlinear systems; Predictive control
• ISSN: 2329-9266; 2329-9274
• DOI: 10.1109/JAS.2022.105830

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.