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Event-triggered adaptive tracking control of a class of nonlinear systems with asymmetric time-varying output constraints
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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, 1998, -1(-1): .
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author="Yitao YANG, Lidong ZHANG",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2300679"
}
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%T Event-triggered adaptive tracking control of a class of nonlinear systems with asymmetric time-varying output constraints
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%A Lidong ZHANG
%J Journal of Zhejiang University SCIENCE C
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%I Zhejiang University Press & Springer
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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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