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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/11472
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| タイトル: | Probabilistic-constrained optimal control of a class of stochastic hybrid systems |
| 著者: | Kobayashi, Koichi
Matou, Koichiro
Hiraishi, Kunihiko |
| キーワード: | backward-reachability graphs
optimal control
probabilistic constraints
stochastic hybrid systems |
| 発行日: | 2012 |
| 出版者: | Springer |
| 誌名: | International Journal of Control, Automation, and Systems |
| 巻: | 10 |
| 号: | 5 |
| 開始ページ: | 897 |
| 終了ページ: | 904 |
| DOI: | 10.1007/s12555-012-0505-3 |
| 抄録: | Stochastic hybrid systems have several applications such as biological systems and communication networks, but it is difficult to consider control of general stochastic hybrid systems. In this paper, a class of discrete-time stochastic hybrid systems, in which only discrete dynamics are stochastic, is considered. For this system, a solution method for the optimal control problem with probabilistic constraints is proposed. Probabilistic constraints guarantee that the probability that the continuous state reaches a given unsafe region is less than a given constant. In the propose method, first, continuous state regions, from which the state reaches a given unsafe region, are computed by a backward-reachability graph. Next, mixed integer quadratic programming problems with constraints derived from the backward-reachability graph are solved. The proposed method can be applied to model predictive control. |
| Rights: | This is the author-created version of Springer, Koichi Kobayashi, Koichiro Matou, and Kunihiko Hiraishi, International Journal of Control, Automation, and Systems, 10(5), 2012, 897-904. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/s12555-012-0505-3 |
| URI: | http://hdl.handle.net/10119/11472 |
| 資料タイプ: | author |
| 出現コレクション: | b10-1. 雑誌掲載論文 (Journal Articles)
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このアイテムのファイル:
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記述 |
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| 18664.pdf | | 254Kb | Adobe PDF | 見る/開く |
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