Sparse Control Theory for Green Technology
| Project/Area Number |
15H02668
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Mathematical informatics
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| Research Institution | The University of Kitakyushu (2016-2018)
Kyoto University (2015) |
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Principal Investigator |
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| Research Collaborator |
Chatterjee Debasish
Quevedo Daniel
Vidyasagar Mathukumalli
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| Project Period (FY) |
2015-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥16,900,000 (Direct Cost: ¥13,000,000、Indirect Cost: ¥3,900,000)
Fiscal Year 2018: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2017: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2016: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2015: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
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| Keywords | 最適制御 / スパースモデリング / 圧縮センシング / モデル予測制御 / 凸最適化 / 省エネルギー / 動的スパースモデリング / スパース最適制御 / ネットワーク化制御 / 分散制御 / マルチエージェントシステム / 分散最適化 / スマートモビリティ / 超スマート社会 / ドローン / 次世代無線通信 / IoT / Cyber-Physical Systems / スパース性 / 非線形制御 / 無人航空機 |
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| Outline of Final Research Achievements |
In this research, we have proposed a novel control (L0 optimal control) to maximize the time duration on which the control takes zero values, and shown the effectiveness in view of energy saving. We have derived necessary conditions for L0 optimality based on the non-smooth maximum principle, and investigated properties of the L0 optimal control. We have also obtained a fast algorithm based on the proximal operator, and extended it to model predictive control.
The research team includes researchers from India, Germany, and United States, and has been publishing many papers in international journals and conferences. The results have been evaluated worldwide, and awarded as Gerorge S. Axelby Outstanding Paper Award from IEEE Control Systems Society.
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| Academic Significance and Societal Importance of the Research Achievements |
超スマート社会 (Society 5.0) の実現において，重要な技術的課題の一つが省エネルギーの達成である．超スマート社会においては，様々なシステムが複雑に関係し，システム的な観点から消費エネルギーの最小化を数理的に定式化し，実行することが極めて重要である．本研究は，そのような全体最適化の数理的な基礎を与える研究であり，大きな社会的意義を持つ．また，本研究で提案したL0最適制御は世界的にも新しく，現在では多くの研究者に影響を与えている．したがって，学術的な意義も大きい．
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Report
(5 results)
Research Products
(87 results)
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[Journal Article] Hypertracking Beyond the Nyquist Frequency2018
Author(s)
Yamamoto Kaoru、Yamamoto Yutaka、Nagahara Masaaki
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Journal Title
Emerging Applications of Control and Systems Theory, A Festschrift in Honor of Mathukumalli Vidyasagar
Volume: NA
Pages: 369-379
DOI
ISBN
9783319670676, 9783319670683
Related Report
Peer Reviewed / Int'l Joint Research
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[Presentation] RATE-DISTORTION ANALYSIS OF DELTA-SIGMA MODULATORS2017
Author(s)
Shuichi Ohno, Teruyuki Shiraki, M.Rizwan Tariq, Masaaki Nagahara
Organizer
The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017)
Place of Presentation
New Orleans, USA
Year and Date
2017-03-05
Related Report
Int'l Joint Research
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[Presentation] 合意制御と分散最適化2016
Author(s)
永原
Organizer
2016年1月電子情報通信学会信号処理研究会
Place of Presentation
関西学院大学大阪梅田キャンパス（大阪府・大阪市）
Year and Date
2016-01-18
Related Report
Invited
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