Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4947186 | Neurocomputing | 2017 | 18 Pages |
Abstract
In this paper, the design problem of the â1-induced positive observer is studied for positive Takagi-Sugeno (T-S) fuzzy systems. First, a â1-induced performance index is presented for positive systems and the performance indicator matches well to the linear Lyapunov functions. Then, we explore a novel description of the â1-induced performance for positive T-S fuzzy systems. Moreover, the design problem of the â1-induced positive observer is solved for positive fuzzy systems under a proposed linear programming method. To estimate the state of positive fuzzy systems, a couple of state-bounding positive observers are constructed. In the end, a numerical example is given to show the effectiveness of the proposed approach.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Xiaoming Chen, Mou Chen, Jun Shen, Shuyi Shao,