Dynamic event-triggered control design for a class of p-normal nonlinear time-delay systems with actuator failures
作者：
Highlights：
• In some existing ETC results, such as [25, 30, 31, 37], the relative or fixed threshold strategies have been investigated. In this paper, a novel dynamic ETC strategy is proposed, in which the threshold parameter is dynamically adjusted with the change of the virtual control signal. Therefore, the proposed dynamic triggering strategy is more flexible than those in [25, 30, 31, 37].
• For p-normal nonlinear time-delay systems like [22, 23], the growth constraint condition imposed on the delayed nonlinear function is required. To relax this condition, the adaptive NN and LKF techniques are used in this paper. Specifically, a modified LKF related to the system powers is constructed to handle time delay; radial basis function (RBF) NN and hyperbolic tangent function are introduced to deal with the time-delay residual terms.
• An adaptive fault compensation control scheme is presented for a class of p-normal nonlinear systems. Compared with existing literature [16–18], the total number of actuator failures is allowed to be infinite, which expands the applications of the systems. Hence, the proposed adaptive NN compensation scheme is applicable to a wider class of nonlinear systems.
摘要
•In some existing ETC results, such as [25, 30, 31, 37], the relative or fixed threshold strategies have been investigated. In this paper, a novel dynamic ETC strategy is proposed, in which the threshold parameter is dynamically adjusted with the change of the virtual control signal. Therefore, the proposed dynamic triggering strategy is more flexible than those in [25, 30, 31, 37].•For p-normal nonlinear time-delay systems like [22, 23], the growth constraint condition imposed on the delayed nonlinear function is required. To relax this condition, the adaptive NN and LKF techniques are used in this paper. Specifically, a modified LKF related to the system powers is constructed to handle time delay; radial basis function (RBF) NN and hyperbolic tangent function are introduced to deal with the time-delay residual terms.•An adaptive fault compensation control scheme is presented for a class of p-normal nonlinear systems. Compared with existing literature [16–18], the total number of actuator failures is allowed to be infinite, which expands the applications of the systems. Hence, the proposed adaptive NN compensation scheme is applicable to a wider class of nonlinear systems.
论文关键词：Adaptive neural networks,Actuator failures,Event-triggered,p-Normal nonlinear systems,Time-varying delays
论文评审过程：Received 17 October 2021, Revised 12 December 2021, Accepted 8 January 2022, Available online 17 January 2022, Version of Record 17 January 2022.
论文官网地址：https://doi.org/10.1016/j.amc.2022.126942
