Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8900744 | Applied Mathematics and Computation | 2018 | 10 Pages |
Abstract
This paper investigates the dynamics of evolutionary networked games with different length information via semi-tensor product (STP) method. First, a networked game with different length information is modeled in the form of probabilistic Boolean networks (PBNs) with time delays. Second, based on the utility function of each player, a necessary condition for the existence of a pure Nash equilibrium is obtained. Then a state feedback control is applied to stabilize the considered system. Finally, an example is presented to substantiate the effectiveness of the theoretical results.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Ying Mao, Liqing Wang, Yang Liu, Jianquan Lu, Zhen Wang,