Presentation 2021-01-22
Maximum Turn-off Control Based on Block-sparse Optimization and Its Feedback Control
Takumi Iwata, Shun-ichi Azuma, Ryo Ariizumi, Toru Asai,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, maximum turn-off control and its feedback control are considered. Maximum turn-off control is, in the case of multi-input system, the control that minimizes the times over which all control inputs take nonzero-value within the constraints. Then, its control is characterized by being block-sparse. Maximum turn-off?control is useful in reducing the number of times that energy is supplied in cases where the time of energy supply is limited. For this control, we consider the feedback control using the framework of model predictive control and describe its stability. We also?illustrate the effectiveness of the proposed method by simulation.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) linear control / discrete-time control / block-sparsity / convex optimization / model predictive control
Paper # RCC2020-34
Date of Issue 2021-01-15 (RCC)

Conference Information
Committee RCC
Conference Date 2021/1/22(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair HUAN-BANG LI(NICT)
Vice Chair Shunichi Azuma(Nagoya Univ.) / Koji Ishii(Kagawa Univ.)
Secretary Shunichi Azuma(CRIEPI) / Koji Ishii(Osaka Univ.)
Assistant SHAN LIN(NICT) / Masaki Ogura(Osaka Univ.)

Paper Information
Registration To Technical Committee on Reliable Communication and Control
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Maximum Turn-off Control Based on Block-sparse Optimization and Its Feedback Control
Sub Title (in English)
Keyword(1) linear control
Keyword(2) discrete-time control
Keyword(3) block-sparsity
Keyword(4) convex optimization
Keyword(5) model predictive control
1st Author's Name Takumi Iwata
1st Author's Affiliation Nagoya University(Nagoya Univ.)
2nd Author's Name Shun-ichi Azuma
2nd Author's Affiliation Nagoya University(Nagoya Univ.)
3rd Author's Name Ryo Ariizumi
3rd Author's Affiliation Nagoya University(Nagoya Univ.)
4th Author's Name Toru Asai
4th Author's Affiliation Nagoya University(Nagoya Univ.)
Date 2021-01-22
Paper # RCC2020-34
Volume (vol) vol.120
Number (no) RCC-332
Page pp.pp.1-3(RCC),
#Pages 3
Date of Issue 2021-01-15 (RCC)