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Fuzzy-model-based control design of nonlinear discrete-time networked control systems via event-triggering communication scheme

机译:基于事件触发通信方案的非线性离散网络控制系统的基于模糊模型的控制设计

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This paper investigates the problem of stabilization of nonlinear discrete-time networked control systems (NCSs) with event-triggering communication scheme in the presence of signal transmission delay. The nonlinear NCSs can be approximated by Takagi-Sugeno (T-S) fuzzy model. The event-triggering communication scheme under consideration is that the current sensor data is transmitted only when the current sensor data and the previously transmitted one satisfy a certain quantitative relation. By taking the signal transmission delay into consideration, a fuzzy delay system model is established to describe the nonlinear discrete-time NCSs with event-triggering communication scheme. Attention is focused on the design of fuzzy state-feedback controller which ensures asymptotic stability of the closed-loop fuzzy systems. Linear matrix inequality (LMI)-based conditions are formulated for the existence of admissible fuzzy controller. If these conditions are feasible, a desired fuzzy controller can be readily constructed. A nonlinear mass-spring-damper mechanical system is presented to demonstrate the effectiveness of the proposed method.
机译:本文研究了在存在信号传输延迟的情况下,具有事件触发通信方案的非线性离散时间网络控制系统(NCS)的稳定问题。非线性NCS可以通过Takagi-Sugeno(T-S)模糊模型来近似。正在考虑的事件触发通信方案是,仅当当前传感器数据和先前发送的传感器数据满足某种定量关系时才发送当前传感器数据。通过考虑信号传输的时延,建立了一个模糊时延系统模型来描述带有事件触发通信方案的非线性离散时间NCS。注意集中在模糊状态反馈控制器的设计上,该控制器确保闭环模糊系统的渐近稳定性。针对线性矩阵不等式(LMI)的条件,为存在可容许的模糊控制器制定了条件。如果这些条件可行,则可以容易地构造期望的模糊控制器。提出了一种非线性质量-弹簧-阻尼器机械系统,以证明该方法的有效性。

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