Abstract
This paper focuses on analysing a new model transformation for singular Markovian jump systems (MJS) with time-varying delay and applies it to stochastic stability analysis and state feedback controller design. Firstly, a comparison model is introduced by employing a two-term approximation of time-varying delays. Then, the parameter-dependent Lyapunov-Krasovskii function is constructed to analyse the stochastic stability of this comparison model, further more based on the scaled small gain theorem, the novel stability criteria with less conservativeness is proposed in terms of linear matrix inequalities. Finally, the desired state feedback controller can be obtained via the above proposed technique.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 34th Chinese Control Conference, CCC 2015 |
| Editors | Qianchuan ZHAO, Shirong LIU |
| Publisher | IEEE Computer Society |
| Pages | 1555-1558 |
| Number of pages | 4 |
| ISBN (Electronic) | 9789881563897 |
| DOIs | |
| Publication status | Published - Sept 2015 |
| Externally published | Yes |
Funding
This work was partially supported by the National Key Basic Research Program (973), China (2012CB215202), the National Natural Science Foundation of China (61403048 and 61134001), and the Fundamental Research Funds for the Central Universities (106112015CDJXY170001).
Keywords
- Markovian Jump System
- Model Transformation
- Sigular System
- Time-Varying Delay