This paper investigates the event-triggered predictive control problem for networked nonlinear systems with imperfect premise matching. First, a model of networked nonlinear system is well constructed, which has integrated the event-triggered communication scheme (ETCS) and the predictive control together, in which, an ETCS is introduced to alleviate the communication burden by reducing the number of transmitted packets; and a fuzzy predictive controller is designed to predict future states and control signals between two successfully transmitted instants. Therefore, the data dropout induced by the networks can be actively compensated. Second, by using a common Lyapunov theory, a stability criterion and two stabilization criteria are deduced to ensure the asymptotical stability of the studied system and find the controller gains, respectively. Different from the traditional parallel distributed compensation method, the synchronous premise variables between the T–S fuzzy system and the fuzzy event-triggered predictive controller (FETPC) are no longer needed again. Since the imperfect premise matching condition is well considered in the derivation of the main results, the design flexibility and low cost of the FETPC implementation can be expected. Finally, the validity of the method proposed in this paper is demonstrated by a nonlinear mass-spring example.

中文翻译：

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具有不完全前提匹配的网络非线性系统的事件触发预测控制

本文研究了具有不完美前提匹配的网络非线性系统的事件触发预测控制问题。首先，构建了一个网络非线性系统模型，将事件触发通信方案（ETCS）和预测控制结合在一起，其中引入ETCS通过减少传输数据包的数量来减轻通信负担；模糊预测控制器被设计来预测两个成功传输的瞬间之间的未来状态和控制信号。因此，可以主动补偿由网络引起的数据丢失。其次，利用常用的李雅普诺夫理论，推导出一个稳定判据和两个稳定判据，分别保证所研究系统的渐近稳定性和求得控制器增益。与传统的并行分布式补偿方法不同，不再需要T-S模糊系统和模糊事件触发预测控制器（FETPC）之间的同步前提变量。由于在推导主要结果时充分考虑了不完善的前提匹配条件，因此可以预期 FETPC 实现的设计灵活性和低成本。最后，通过非线性质量-弹簧示例证明了本文提出的方法的有效性。FETPC 实现的设计灵活性和低成本是可以预期的。最后，通过非线性质量-弹簧示例证明了本文提出的方法的有效性。FETPC 实现的设计灵活性和低成本是可以预期的。最后，通过非线性质量-弹簧示例证明了本文提出的方法的有效性。