Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6866537 | Neurocomputing | 2014 | 4 Pages |
Abstract
This paper studies the global stability at some limit cycle of a switched Boolean network by using the semi-tensor product method. The switched Boolean network is introduced and expressed into an algebraic form. Then, the switching-incidence matrix is constructed and the physical meaning is given. Based on this, a necessary and sufficient condition for the global stability at some limit cycle of the switched Boolean network is given. An illustrative example shows the efficiency of the proposed results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Fangfei Li,