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Reachable set bounding of output-feedback control for discrete-time large-scale IT-2 fuzzy descriptor systems using distributed event-based broadcasts
Engineering Applications of Artificial Intelligence ( IF 7.5 ) Pub Date : 2021-02-11 , DOI: 10.1016/j.engappai.2021.104166
Xingyi Wang , Zhixiong Zhong , Hak-Keung Lam , Zuoyong Li

This paper studies the distributed event-based broadcasting of output-feedback control for discrete-time large-scale fuzzy descriptor systems subject to reachable set bounding. First, each nonlinear subsystem is represented by the interval type-2 fuzzy model, where fuzzy representation is assumed to be appearing not only in both the state and input matrices but also in the derivative matrix. By using a descriptor redundancy approach, the fuzzy representation in the derivative matrix is reformulated into the linear one. Then, we introduce an output-feedback fuzzy controller with distributed event-based broadcasting, where all subsystems communicate with each other via a distributed network, and each subsystem broadcasts its decision-making of transmission based on a prescribed event. Two event-based mechanisms (EBMs) are respectively proposed to examine when the system output and fuzzy premise variable should be transmitted to the controller. Moreover, by further employing a descriptor redundancy representation, combined with reachable set analysis method, it will be shown that the proposed fuzzy controller guarantees that the estimation error is bounded within the ellipsoidal boundary while communication data are transmitted to the controller as little as possible, and sufficient condition for designing the desired controller is derived in terms of linear matrix inequalities (LMIs). Finally, a simulation study is given to show the effectiveness of the proposed method.



中文翻译:

使用基于事件的分布式广播的离散时间大型IT-2模糊描述符系统的输出反馈控制的可到达集边界

本文研究了可到达集约束下离散时间大规模模糊描述系统基于事件的分布式广播输出反馈。首先,每个非线性子系统都由区间2型模糊模型表示,其中假定模糊表示不仅出现在状态矩阵和输入矩阵中,而且出现在导数矩阵中。通过使用描述符冗余方法,将导数矩阵中的模糊表示重新公式化为线性表示。然后,我们引入具有基于事件的分布式广播的输出反馈模糊控制器,其中所有子系统都通过分布式网络相互通信,并且每个子系统根据规定的事件广播其传输决策。分别提出了两种基于事件的机制(EBM),以检查何时应将系统输出和模糊前提变量传输到控制器。此外,通过进一步使用描述符冗余表示,并结合可达集分析方法,将表明所提出的模糊控制器保证了估计误差被限制在椭圆形边界之内,同时通信数据被尽可能少地发送到控制器,并根据线性矩阵不等式(LMI)得出了设计所需控制器的充分条件。最后,通过仿真研究证明了该方法的有效性。通过进一步使用描述符冗余表示,并结合可达集分析方法,将表明所提出的模糊控制器保证了估计误差被限制在椭圆形边界之内,同时通信数据被尽可能少地传输到控制器。根据线性矩阵不等式(LMI)得出设计所需控制器的条件。最后,通过仿真研究证明了该方法的有效性。通过进一步使用描述符冗余表示,并结合可达集分析方法,将表明所提出的模糊控制器保证了估计误差被限制在椭圆形边界之内,同时通信数据被尽可能少地传输到控制器。根据线性矩阵不等式(LMI)得出设计所需控制器的条件。最后,通过仿真研究证明了该方法的有效性。并根据线性矩阵不等式(LMI)得出了设计所需控制器的充分条件。最后,通过仿真研究证明了该方法的有效性。并根据线性矩阵不等式(LMI)得出了设计所需控制器的充分条件。最后,通过仿真研究证明了该方法的有效性。

更新日期:2021-02-12
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