Abstract
This paper is dealt with the tracking control problem for strict-feedback systems with unknown nonlinearities and unmatched disturbances as well as event-triggered input. A robust control scheme together with an event-triggered update protocol is proposed to solve the problem, which outperforms the existing solutions in the following aspects. First, it guarantees that the tracking error converges to a given bound in a prescribed finite time, unlike the results on exponential convergence with unknown accuracy. Second, for control implementation, only a sequence of binary command signals needs to be sent to the actuator. This further economizes the communication cost in comparison with the conventional event-triggered control protocols. Third, our controller exhibits a simplicity attribute, due to the avoidance of using approximating structures and estimating algorithms and to calculating or filtering certain signal derivatives. The above theoretical findings are illustrated via a comparative simulation study.
Highlights
T HE past decades have witnessed considerable research effort in the area of robust control of nonlinear systems
Adaptive control laws are usually adopted to deal with constant parametric uncertainties
The neural or fuzzy control approach is always applied to the system with unknown nonlinear functions
Summary
T HE past decades have witnessed considerable research effort in the area of robust control of nonlinear systems. The ETC method contributes for NCSs to effectively using the limited communication resource a lot On this basis, how to guaranteed prescribed tracking performance with finite-time convergence property by a low-complexity controller is the emphasis in this study. 3) The controller exhibits strong robustness and significant simplicity It does not involve information on the expressions of system nonlinear functions or the bounds of disturbances, without yet approximation [6], [8], [33], adaptation [7], [21], [22], [34], learning [9], [11], observation [16], hard calculation [21], [22], [31], filtering [35]–[37], etc.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
