Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5775704 | Applied Mathematics and Computation | 2017 | 20 Pages |
Abstract
This study constructs and investigates the non-fragile asynchronous Hâ control for uncertain stochastic memory systems with Bernoulli distribution. The system not only contains the randomly occurring uncertainties of all parameters (ROUAPs) and stochastic disturbances in the system model, but also includes randomly gain perturbations in the controller. By introducing the stochastic variables, a new model structure is built obeying Bernoulli distribution to describe the system and the controller. Moreover, a modified Lyapunov-Krasovskii function (LKF) is constructed, combining Itô's differential formula and free-weighting matrix method, less conservative results are presented in terms of the linear matrix inequality (LMI). Furthermore, an observer-based non-fragile asynchronous Hâ controller is designed without any limits on the system parameters. Finally, three numerical examples are provided to demonstrate the effectiveness and feasibility of the proposed results.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Jinnan Luo, Wenhong Tian, Shouming Zhong, Kaibo Shi, Hao Chen, Xian-Ming Gu, Wenqin Wang,