Zhang Duo, Zhang Liruo, Yu Zhongjing, Shu Lan, Swain Akshya Kumar
School of Mathematical Sciences, University of Electronic Science and Technology of China, Sichuan 611731, China.
Department of Electrical, Computer and Software Engineering, the University of Auckland, Auckland 1142, New Zealand.
ISA Trans. 2022 Oct;129(Pt A):44-55. doi: 10.1016/j.isatra.2021.12.031. Epub 2021 Dec 28.
The current study concentrates on the event-based controller design for nonlinear networked systems characterized by the interval type-2 (IT2) fuzzy model. An innovative sum-based discrete event-triggered mechanism (SDETM), whose triggering condition includes several previous measurement samples, is proposed. Compared to the traditional event-triggered mechanism (ETM), the novel SDETM requires less network resources consumption. A dynamic output feedback controller (DOFC) is designed to achieve stability of the system. A novel stability criteria is established via the Lyapunov-Krasovskii functional method with the prescribed H performance. Co-design of the DOFC and SDETM parameters is carried out using the cone complimentarity linearization (CCL) algorithm. The effectiveness of the proposed method is demonstrated with two practical cases.
当前的研究集中于针对以区间二型（IT2）模糊模型为特征的非线性网络系统进行基于事件的控制器设计。提出了一种创新的基于求和的离散事件触发机制（SDETM），其触发条件包括几个先前的测量样本。与传统的事件触发机制（ETM）相比，新颖的SDETM所需的网络资源消耗更少。设计了一种动态输出反馈控制器（DOFC）以实现系统的稳定性。通过具有规定H性能的Lyapunov-Krasovskii泛函方法建立了一种新颖的稳定性准则。使用锥互补线性化（CCL）算法对DOFC和SDETM参数进行协同设计。通过两个实际案例证明了所提方法的有效性。
