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
@article{title="Event-triggered adaptive tracking control of a class of nonlinear systems with asymmetric time-varying output constraints", author="Yitao YANG, Lidong ZHANG", journal="Frontiers of Information Technology & Electronic Engineering", year="in press", publisher="Zhejiang University Press & Springer", doi="https://doi.org/10.1631/FITEE.2300679" }
%0 Journal Article %T Event-triggered adaptive tracking control of a class of nonlinear systems with asymmetric time-varying output constraints %A Yitao YANG %A Lidong ZHANG %J Frontiers of Information Technology & Electronic Engineering %P %@ 2095-9184 %D in press %I Zhejiang University Press & Springer doi="https://doi.org/10.1631/FITEE.2300679"
TY - JOUR T1 - Event-triggered adaptive tracking control of a class of nonlinear systems with asymmetric time-varying output constraints A1 - Yitao YANG A1 - Lidong ZHANG J0 - Frontiers of Information Technology & Electronic Engineering SP - EP - %@ 2095-9184 Y1 - in press PB - Zhejiang University Press & Springer ER - doi="https://doi.org/10.1631/FITEE.2300679"
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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