Bibliographic Details
| Title: |
Predictive control for stochastic systems based on multi-layer probabilistic sets |
| Authors: |
Huaqing LIANG, Dongwen ZHANG, Shaoguang XING, Shasha ZHANG |
| Source: |
Journal of Hebei University of Science and Technology, Vol 37, Iss 2, Pp 205-212 (2016) |
| Publisher Information: |
Hebei University of Science and Technology, 2016. |
| Publication Year: |
2016 |
| Collection: |
LCC:Technology |
| Subject Terms: |
stochastic process, predictive control, Markov jump, probabilistic constraints, multi-layer probabilistic sets, Technology |
| More Details: |
Aiming at a class of discrete-time stochastic systems with Markov jump features, the state-feedback predictive control problem under probabilistic constraints of input variables is researched. On the basis of the concept and method of the multi-layer probabilistic sets, the predictive controller design algorithm with the soft constraints of different probabilities is presented. Under the control of the multi-step feedback laws, the system state moves to different ellipses with specified probabilities. The stability of the system is guaranteed, the feasible region of the control problem is enlarged, and the system performance is improved. Finally, a simulation example is given to prove the effectiveness of the proposed method. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
Chinese |
| ISSN: |
1008-1542 |
| Relation: |
http://xuebao.hebust.edu.cn/hbkjdx/ch/reader/create_pdf.aspx?file_no=b201602015&flag=1&journal_; https://doaj.org/toc/1008-1542 |
| DOI: |
10.7535/hbkd.2016yx02015 |
| Access URL: |
https://doaj.org/article/8c6e969ec24d42ea89215c483fad19e0 |
| Accession Number: |
edsdoj.8c6e969ec24d42ea89215c483fad19e0 |
| Database: |
Directory of Open Access Journals |
