JZUS - Journal of Zhejiang University SCIENCE

Frontiers of Information Technology & Electronic Engineering

Accepted manuscript available online (unedited version)

Event-triggered adaptive tracking control of a class of nonlinear systems with asymmetric time-varying output constraints

Author(s): Yitao YANG, Lidong ZHANG
Affiliation(s): School of Science, Tianjin University of Technology, Tianjin, China
Corresponding email(s): yitaoyangqf@163.com
Key Words: Adaptive control; Deferred asymmetric time-varying output constraints; Error-shifting function; Event-triggered control

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Yitao YANG, Lidong ZHANG. Event-triggered adaptive tracking control of a class of nonlinear systems with asymmetric time-varying output constraints[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2300679

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Abstract
Chinese Summary
Academic Network
Reviewer Comment

Abstract: This article investigates the event-triggered adaptive neural network (NN) tracking control problem with deferred asymmetric time–varying (DATV) output constraints. To deal with the DATV output constraints, an asymmetric time-varying barrier Lyapunov function (ATBLF) is first built to make the stability analysis and the controller construction simpler. Second, an event–triggered adaptive NN tracking controller is constructed by incorporating an error-shifting function, which ensures that the tracking error converges to an arbitrarily small neighborhood of the origin within a predetermined settling time, consequently optimizing the utilization of network resources. It is theoretically proven that all signals in the closed–loop system are semi–globally uniformly ultimately bounded (SGUUB), while the initial value is outside the constraint boundary. Finally, a single–link robotic arm (SLRA) application example is employed to verify the viability of the acquired control algorithm.

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