Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8900752 | Applied Mathematics and Computation | 2018 | 18 Pages |
Abstract
This paper focuses on the problem of the simultaneous fault detection and control (SFDC) for continuous-time Markovian jump systems (MJSs) with partially unknown transition probabilities (TPs). Under the Hâ/Hâ framework, the fault detection filter and dynamic output feedback controller are presented simultaneously. An adaptive method is utilized to solve the difficulty caused by the unknown transition probabilities. Based on the linear matrix inequality (LMI) approach with adaptive mechanism, a sufficient condition for designing fault detection filter and controller which satisfy the Hâ/Hâ performance is proposed in terms of the adaptive laws. The simulation results are provided to illustrate the validity and applicability of the proposed control scheme.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Xuan Liu, Ding Zhai, Da-Kuo He, Xiao-Heng Chang,