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 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.
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Keyword(in English) self-triggered control / optimal control / networked control systems
Paper # MSS2012-53
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Committee MSS
Conference Date 2013/1/15(1days)
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Registration To Mathematical Systems Science and its applications(MSS)
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
Date of Issue