A new event-triggered adaptive tracking controller for nonlinear systems with unknown virtual control coefficients. (January 2023)

• Record Type: Journal Article
• Authors: Li, Jingyu; Liu, Cungen; Sun, Yulong; Shao, Lanyun
• Is Part Of: European journal of control. Volume 69(2023)
• Publication Date: 2023-01
• Subjects: Event-triggered -- Adaptive control -- Nonlinear system -- Unknown control coefficient; Control theory -- Periodicals; Automatic control -- Periodicals; Automatic control -- Mathematics -- Periodicals; Electronic journals; 629.805
• DOI: 10.1016/j.ejcon.2022.100759
• Languages: English
• ISSNs: 0947-3580

Abstract

Abstract: This paper investigates the adaptive event-triggered tracking control problem for nonlinear systems with virtual control coefficients being unknown nonlinear functions. Firstly, different from approximators using fuzzy logics/neural networks or Nussbaum gain technique, a new transformation with less computation is introduced based on a monotone decreasing positive continuous function to handle uncertain virtual control coefficients (UVCCs). Furthermore, a novel event-triggered threshold scheme is firstly developed, which can switch between the fixed and relative threshold strategies smoothly. Finally, an adaptive event-triggered tracking controller is constructed, whose effectiveness is verified by both theoretical analysis and simulations.