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To Transmit or Not to Transmit: A Discrete Event-Triggered Communication Scheme for Networked Takagi–Sugeno Fuzzy Systems

机译:传输或不传输:网络化Takagi–Sugeno模糊系统的离散事件触发通信方案

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摘要

This paper first proposes a discrete event-triggered communication scheme for a class of networked Takagi–Sugeno (T–S) fuzzy systems. This scheme has two main features: 1) Whether or not the sampled state should be transmitted is determined by the current-sampled state and the error between the current-sampled state and the latest transmitted state. Compared with those in a periodic time-triggered communication scheme, the communication bandwidth utilization is considerably reduced while preserving the desired control performance; and 2) it is a discrete event-triggered communication scheme due to the fact that the triggered conditions are only measured and checked at a constant sampling period. Compared with a continuous event-triggered communication scheme, the special hardware for continuous measurement and computation is no longer needed. Second, a networked T–S fuzzy model is delicately constructed, which not only considers nonuniform time scales in the networked T–S fuzzy model and the parallel distributed compensation fuzzy control rules but includes the aforementioned state error as well. Third, a stability criterion and a stabilization criterion about the networked T–S fuzzy system are derived, respectively. The stability criterion and stabilization criterion can provide a tradeoff to balance the required communication resource and the desired performance: Lowering the desired performance allows the network to allocate more limited bandwidth to other nodes in need. Finally, a numerical example is given to show the effectiveness of the proposed method.
机译:本文首先为一类网络化的Takagi-Sugeno(TS)模糊系统提出了一种离散的事件触发通信方案。该方案具有两个主要特征:1)是否应发送采样状态取决于当前采样状态以及当前采样状态与最新发送状态之间的误差。与定期的时间触发通信方案相比,在保持所需控制性能的同时,通信带宽利用率大大降低。 2)这是一种离散的事件触发通信方案,因为这样的事实:仅在恒定采样周期内测量和检查触发条件。与连续事件触发的通信方案相比,不再需要用于连续测量和计算的特殊硬件。其次,精心构建了一个网络化的TS模糊模型,它不仅考虑了网络化TS模糊模型中的时间尺度不均匀和并行分布的补偿模糊控制规则,而且还考虑了上述状态误差。第三,分别推导了关于网络化TS模糊系统的稳定性准则和稳定性准则。稳定性标准和稳定标准可以提供权衡,以平衡所需的通信资源和所需的性能:降低所需的性能可使网络为需要的其他节点分配更多受限的带宽。最后,通过数值例子说明了该方法的有效性。

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