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Event-triggered adaptive fault-tolerant control for nonlinear systems fusing static and dynamic information

机译:融合静态和动态信息的非线性系统的事件触发自适应容错控制

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摘要

In this paper, a novel event-triggered adaptive fault-tolerant control scheme is proposed for a class of nonlinear systems with unknown actuator faults. Multiplicative faults and additive faults are taken into account simultaneously, both of which may vary with time. Different from existing results, our controller fuses static reliability information and dynamic online information, which is helpful to enhance the fault-tolerant capability. With the aid of an event-triggering mechanism, an actuator switching strategy and a bound estimation approach, the communication burden is significantly reduced and the impacts of the actuator faults as well as the network-induced error are effectively compensated for. Moreover, by employing the prescribed performance control technique, the system tracking error can converge to a predefined arbitrarily small residual set with prescribed convergence rate and maximum overshoot, which implies that the proposed scheme is able to ensure rapid and accurate tracking. Simulation results are presented to illustrate the effectiveness of the proposed scheme. (C) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:针对一类未知执行器故障的非线性系统,提出了一种新颖的事件触发自适应容错控制方案。同时考虑了乘法故障和加性故障,两者都可能随时间变化。与现有结果不同,我们的控制器融合了静态可靠性信息和动态在线信息,有助于提高容错能力。借助事件触发机制,执行器切换策略和边界估计方法,可以显着减少通信负担,并有效地补偿执行器故障以及网络引起的错误的影响。此外,通过采用规定的性能控制技术,系统跟踪误差可以收敛到具有规定的收敛速度和最大过冲的预定的任意小的残差集,这意味着所提出的方案能够确保快速且准确的跟踪。仿真结果表明了该方案的有效性。 (C)2018富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

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