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H-infinity observer-based event-triggered sliding mode control for a class of discrete-time nonlinear networked systems with quantizations

机译:基于H-Infinity观察者的事件触发的滑动模式控制,用于一类具有量化的离散时间非线性网络系统

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This paper investigates the problem of H-infinity observer-based event-triggered sliding mode control (SMC) for a class of uncertain discrete-time Lipschitz nonlinear networked systems with quantizations occurring in both input and output channels. The event-triggered strategy is used to save the limited network bandwidth. Then, based on the zero-order-hold (ZOH) measurement, a state observer is designed to reconstruct the system state, which facilitates the design of the discrete-time sliding surface. Considering the effects of quantizations, networked-induced constraints and event-triggered scheme, the nonlinear state error dynamics and sliding mode dynamics are converted into a unified linear parameter varying (LPV) time-delay system with the aid of a reformulated Lipschitz property. By using the Lyapunov-Krasovskii functional and free weighting matrix, a new sufficient condition is derived to guarantee the robust asymptotic stability of the resulting closed-loop system with prescribed H-infinity, performance. And then the observer gain, event-triggering parameter and sliding mode parameter are co-designed. Furthermore, a novel SMC law is synthesized to force the trajectories of the observer system onto a pre-specified sliding mode region in a finite time. Finally, a single-link flexible joint robot example is utilized to demonstrate the effectiveness of the proposed method.
机译:本文研究了一类不确定的离散时间LIPSChitz非线性网络系统的H-Infinity观察者的事件触发滑动模式控制(SMC)的问题,其中包括输入和输出通道中的量化。事件触发的策略用于保存有限的网络带宽。然后,基于零级保持(ZOH)测量,设计了一种状态观察者以重建系统状态,这有利于离散时间滑动表面的设计。考虑到量化,网络引起的约束和事件触发方案的影响,非线性状态误差动态和滑动模式动态借助于重新设计的Lipschitz属性转换成统一的线性参数变化(LPV)时延系统。通过使用Lyapunov-Krasovskii功能和自由加权矩阵,推导出一种新的充分条件,以确保所得闭环系统的稳健渐近稳定性,具有规定的H-Infinity,性能。然后,观察者增益,事件触发参数和滑模参数都是共同设计的。此外,合成了一种新的SMC定律,以在有限时间内迫使观察者系统的轨迹在预先指定的滑模区域上。最后,利用单链路柔性联合机器人示例来证明所提出的方法的有效性。

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