Zhou Jingfeng, Cao Jianming, Chen Jing, Hu Aihua, Zhang Jingxiang, Hu Manfeng
School of Science, Jiangnan University, Wuxi 214122, China.
Entropy (Basel). 2021 Nov 1;23(11):1452. doi: 10.3390/e23111452.
This paper investigates the dynamic event-triggered predictive control problem of interval type-2 (IT2) fuzzy systems with imperfect premise matching. First, an IT2 fuzzy systems model is proposed, including a dynamic event-triggered mechanism, which can save limited network resources by reducing the number of data packets transmitted, and a predictive controller, which can predict the state of the system between the two successful transmitted instants to deal with unreliable communication networks. Then, according to the Lyapunov stability theory and imperfect premise matching method, sufficient conditions for system stabilization and the controller gain are obtained. Finally, the validity of the proposed method is demonstrated by the numerical examples.
本文研究了具有不完全前提匹配的区间二型(IT2)模糊系统的动态事件触发预测控制问题。首先,提出了一种IT2模糊系统模型,包括一个动态事件触发机制,该机制可通过减少传输的数据分组数量来节省有限的网络资源,以及一个预测控制器,该控制器可预测系统在两个成功传输时刻之间的状态,以应对不可靠的通信网络。然后,根据李雅普诺夫稳定性理论和不完全前提匹配方法,得到了系统稳定和控制器增益的充分条件。最后,通过数值例子验证了所提方法的有效性。