Presentation | 2013-01-23 Self-Triggered Optimal Control of Linear Systems Focusing on Prediction Horizon One Koichi KOBAYASHI, Kunihiko HIRAISHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Self-triggered control is a control method that the control input and the sampling period are computed simultaneously in sampled-data control systems. In this paper, a new approach for self-triggered control is proposed from the viewpoint of optimal control. First, the optimal control problem with horizon one is formulated. By solving this problem at each sampling interval, self-triggered model predictive control can be realized. Next, the formulated problem is approximately reduced to a convex quadratic programming problem. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | self-triggered control / optimal control / networked control systems |
Paper # | MSS2012-53 |
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Committee | MSS |
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Conference Date | 2013/1/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Mathematical Systems Science and its applications(MSS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Self-Triggered Optimal Control of Linear Systems Focusing on Prediction Horizon One |
Sub Title (in English) | |
Keyword(1) | self-triggered control |
Keyword(2) | optimal control |
Keyword(3) | networked control systems |
1st Author's Name | Koichi KOBAYASHI |
1st Author's Affiliation | Japan Advanced Institute of Science and Technology() |
2nd Author's Name | Kunihiko HIRAISHI |
2nd Author's Affiliation | Japan Advanced Institute of Science and Technology |
Date | 2013-01-23 |
Paper # | MSS2012-53 |
Volume (vol) | vol.112 |
Number (no) | 383 |
Page | pp.pp.- |
#Pages | 4 |
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