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Observer-based model following sliding mode tracking control of discrete-time linear networked systems with two-channel event-triggered schemes and quantizations

机译:双通道事件触发方案和量化的离散时间线性联网系统滑动模式跟踪控制后基于观察者的模型

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This paper addresses the problem of H-infinity observer-based model following sliding mode tracking control for a class of linear discrete-time networked systems subject to event-triggered transmission schemes and quantizations occurring in both input and output channels. First, a dynamic event-triggered scheme and a static event-triggered scheme on sensor and controller sides are proposed, respectively, to reduce the number of unnecessary data transmission. Then, an observer is designed to estimate the system state. Considering the effects of quantization, networked conditions, external disturbance and event-triggered transmission schemes, the state error system and sliding mode dynamics are modeled as a new networked time-delay system. Based on this model and Lyapunov-Krasovskii functional method, sufficient conditions are derived to guarantee the resulting closed-loop system to be asymptotically stable with prescribed H-infinity performance. And then, a co-design method is present to obtain the observer gain, triggering parameter and sliding mode parameter, simultaneously. Furthermore, a sliding mode controller for reaching motion is developed to ensure the reachability of the sliding surface. Finally, simulation examples are present to verify the effective of the proposed design method. (C) 2019 Elsevier Inc. All rights reserved.
机译:本文介绍了在一类发生于事件触发的传输方案和在输入和输出通道中发生的量化的线性离散时间网络系统的滑模跟踪控制之后的基于H-Infinity观察者的模型问题。首先,分别提出了一种动态事件触发方案和传感器和控制器侧上的静态事件触发方案,以减少不必要的数据传输的数量。然后,观察者旨在估计系统状态。考虑到量化的影响,网络条件,外部干扰和事件触发的传输方案,状态误差系统和滑动模式动态被建模为新的网络时延系统。基于该模型和Lyapunov-Krasovskii功能方法,推导出足够的条件,以确保所产生的闭环系统具有规定的H-Infinity性能的渐近稳定性。然后,存在共同设计方法以同时获得观察者增益,触发参数和滑模参数。此外,开发用于达到运动的滑动模式控制器以确保滑动表面的可达性。最后,存在仿真示例以验证所提出的设计方法的有效性。 (c)2019 Elsevier Inc.保留所有权利。

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