Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
408303 | Neurocomputing | 2016 | 6 Pages |
Abstract
In this study, the so-called multi-instant fuzzy control design is discussed for a class of nonlinear networked systems with unreliable communication channels. Different from most existing results in the references, we aim to design a new multi-instant fuzzy controller such that the variation information between two fore-and-aft normalized fuzzy weighting functions is considered in the process of control design. Based on the above effort, a class of slack variable technique that is fit for the multi-instant case with higher efficiency as well is applied by extending some key matrix transform results. Finally, some simulation results are employed to illustrate the superiority of the proposed approach.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Xiangpeng Xie, Qiuhong Liu,