奈良先端科学技術大学院大学 知能システム制御研究室 助教

研究業績

学術論文

  1. K. Hanada, T. Wada, I. Masubuchi, T. Asai, and Y. Fujisaki: Multi-agent consensus with stopping rules under bounded measurement noise, Asian Journal of Control, Vol. 25, No. 2, pp. 651-661, 2022.
  2. K. Hanada, Y. Amemiya, and K. Sugimoto: A Distributed Asynchronous Heuristic Algorithm in Generalized Mutual Assignment Problem, Transactions of the Japanese Society for Artificial Intelligence, Vol. 37, No. 2, pp. B-L81_1-11, 2022.
  3. K. Sugimoto, T. Aihara, M. Ogura and K. Hanada: Gain scheduling for sampled-data state estimation over lossy networks, Transactions of the Institute of Systems, Control and Information Engineers, Vol. 34, No. 11, pp. 287-293, 2021.
  4. K. Hanada, T. Wada, I. Masubuchi, T. Asai, and Y. Fujisaki, Multi-Agent Consensus for Distributed Power Dispatch with Load Balancing, Asian Journal of Control, Vol. 23, No. 2, pp. 611-619, 2021.
  5. K. Hanada, T. Wada, I. Masubuchi, T. Asai, and Y. Fujisaki: Stochastic Consensus Algorithms over General Noisy Networks, SICE Journal of Control, Measurement, and System Integration, Vol. 13, No. 6, pp. 274-281, 2020.
  6. K. Hanada, T. Wada, I. Masubuchi, T. Asai, and Y. Fujisaki: Stochastic Consensus over Multi-Channel Networks of MIMO Linear Symmetric Agents, Transactions of the Institute of Systems, Control and Information Engineers, Vol. 32, No. 2, pp. 55-62, 2019.
  7. K. Hanada, T. Wada, I. Masubuchi, T. Asai, and Y. Fujisaki: Stochastic Consensus over Time-Varying Networks of Linear Symmetric Agents, Transactions of the Institute of Systems, Control and Information Engineers, Vol. 31, No. 1, pp. 28-35, 2018.
  8. K. Hanada, R. Morita, T. Wada, and Y. Fujisaki: Simple Synchronous and Asynchronous Algorithms for Distributed Minimax Optimization, SICE Journal of Control, Measurement, and System Integration, Vol. 10, No. 6, pp. 557-562, 2017.
  9. 花田 研太, 平山 勝敏, 沖本 天太: 分散ラグランジュ緩和プロトコルにおけるバンドル法, 人工知能学会論文誌, Vol.31, No.2, C-F75_1-10, 2016.
  10. 花田 研太, 平山 勝敏: 多層一般化相互割当問題の定式化とその解法, 電子情報通信学会論文誌D, Vol. J96-D, No. 12, pp. 2908-2919, 2013.
  11. 花田 研太, 平山 勝敏: 過制約な一般化相互割当問題に対する分散ラグランジュ緩和プロトコル, 情報処理学会論文誌, Vol. 53, No. 11, pp. 2370-2378, 2012.

国際会議論文（査読あり）

  1. K. Sugimoto and K. Hanada: Generalization of 2DOF Structure Toward Feedback Error Learning Control, Proceedings of the SICE Annual Conference 2023 (SICE-2023), 2023.
  2. K. Fujikura, K. Hanada, K. Sugimoto, and T. Matsubara: Sliding Innovation Filter for Linear State Equation of Underwater Drones with Modeling Errors, the 54th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS ‘22), 2022.
  3. Y. Amemiya, K. Hanada, and K. Sugimoto: Adaptive Step Size for a Consensus based Distributed Subgradient Method in Generalized Mutual Assignment Problem, Proceedings of 11th International Congress on Advanced Applied Informatics (IIAI-2021), Vol 81, pp. 141-152, 2022.
  4. Y. Amemiya, K. Hanada, and K. Sugimoto: An Asynchronous Heuristic Algorithm for Generalized Mutual Assignment Problem: Gossip-based Approach, in Proceedings of the 52th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS ‘20), pp. 54-59, 2020 (Post proceedings).
  5. K. Sugimoto, M. Ogura, K. Hanada, and T. Aihara: Sampled-data Suboptimal State Estimation over Lossy Networks, in Proceedings of the 52th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS ‘20), pp. 79-83, 2020 (Post proceedings).
  6. K. Hanada, T. Wada, I. Masubuchi, T. Asai, and Y. Fujisaki, Scaled Group Consensus over Weakly Connected Structurally Balanced Graphs, in Proceedings of the 21st IFAC World Congress (IFAC 2020, IFAC-PapersOnLine), Vol. 53, No. 2, pp. 3037-3042, 2020.
  7. K. Hanada, T. Tsuchiya, and Y. Fujisaki: Satisfiability-Based Analysis of Cascading Failures in Systems of Interdependent Networks, 24th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2019), pp. 105-113, 2019.
  8. K. Hanada, T. Wada, I. Masubuchi, T. Asai, and Y. Fujisaki: On a New Class of Structurally Balanced Graphs for Scaled Group Consensus, in Proceedings of the SICE Annual Conference 2019 (SICE 2019), pp. 1671-1676, 2019 (A Finalist in the SICE International Awards).
  9. K. Hanada, T. Wada, I. Masubuchi, T. Asai, and Y. Fujisaki: A Time Averaging Algorithm for Load Balancing in Distributed Power Dispatch, in Proceedings of the 3rd IEEE Conference on Control Technology and Applications (CCTA 2019), pp. 643-648, 2019.
  10. K. Hanada, T. Wada, I. Masubuchi, T. Asai, and Y. Fujisaki: A Stopping Rule for Multi-Agent Consensus over Unbalanced Noisy Networks, in Proceedings of the 50th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS ‘18), pp. 117-120, 2018 (Post proceedings).
  11. K. Hanada, T. Wada, I. Masubuchi, T. Asai, and Y. Fujisaki: An Averaging Consensus Algorithm and Its Stopping Rule over Noisy Undirected Networks of MIMO Linear Symmetric Agents, in Proceedings of the 49th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS ‘17), pp. 46-49, 2017 (Post proceedings).
  12. K. Hanada, T. Wada, and Y. Fujisaki: A Restart Strategy with Time Delay in Distributed Minimax Optimization, in Theory and Practice of Computation: Proceedings of Workshop on Computation: Theory and Practice WCTP2017, pp. 89-100, 2018 (Post proceedings).
  13. K. Hanada, T. Wada, and Y. Fujisaki: An Asynchronous Gossip Algorithm with Restart Strategy in Distributed Minimax Optimization, in Proceedings of the 20th IFAC World Congress (IFAC 2017, IFAC-PapersOnLine), Vol. 50, No. 1, pp. 14212-14217, 2017.
  14. T. Wada, I. Masubuchi, K. Hanada, T. Asai, and Y. Fujisaki: Distributed Optimization over Directed Randomly Varying Unbalanced Networks, in Proceedings of the 20th IFAC World Congress (IFAC 2017, IFAC-PapersOnLine), Vol. 50, No. 1, pp. 2403-2408, 2017.
  15. I. Masubuchi, T. Asai, T. Wada, K. Hanada, and Y. Fujisaki，On Transient Responses of an ADMM-Based Distributed Multi-Agent Optimization Protocol, in Proceedings of the 25th Mediterranean Conference on Control and Automation (MED 2017), pp. 660-665, 2017.
  16. K. Hanada, T. Wada, I. Masubuchi, T. Asai, and Y. Fujisaki: Convergence Analysis of Stochastic Consensus over Noisy Networks of Linear Symmetric Agents, in Proceedings of the 48th International Symposium on Stochastic Systems Theory and Its Applications (SSS ‘16), pp. 186-189, 2016 (Post proceedings).
  17. K. Hirayama, K. Hanada, S. Ueda, M. Yokoo, and A. Iwasaki: Computing a Payoff Division in the Least Core for MC-nets Coalitional Games, in Proceedings of the 17th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-2014), pp.319-332, 2014.
  18. K. Hanada, K. Hirayama: Distributed Lagrangian Relaxation Protocol for the Over-constrained Generalized Mutual Assignment Problem, in Proceedings of the 14th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-2011), pp.174-186, 2011.

学会口頭発表

国際学会

  1. K. Hanada, T. Wada, I. Masubuchi, T. Asai, and Y. Fujisaki, Scaled Group Consensus over Weakly Connected Structurally Balanced Graphs, Preprints of IFAC World Congress, 2020 (Online, recorded).
  2. K. Hanada, T. Wada, I. Masubuchi, T. Asai, and Y. Fujisaki, A Stopping Rule for Multi-Agent Consensus withBounded Noise in Measurement, SICE International Symposium on Control Systems 2020, 2E1-1, 2020 (Canceled due to the COVID-19).
  3. K. Hanada, Satisfiability-Based Analysis of Cascading Failures in Systems of Interdependent Networks, 24th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2019), Kyoto, Japan, December 2019.
  4. K. Hanada, On a New Class of Structurally Balanced Graphs for Scaled Group Consensus, the SICE Annual Conference 2019 (SICE 2019), Hiroshima, Japan, September 2019.
  5. K. Hanada, A Time Averaging Algorithm for Load Balancing in Distributed Power Dispatch, in Proceedings of the 3rd IEEE Conference on Control Technology and Applications (CCTA 2019), Hong Kong, China, August 2019.
  6. K. Hanada, A Stopping Rule for Multi-Agent Consensus over Unbalanced Noisy Networks, the 50th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS ‘18), Kyoto, Japan, November 2018.
  7. K. Hanada, Distributed power dispatch with load balancing, the SICE Annual Conference 2018 (Workshop: Cooperative Control for Energy Management Systems), Nara, Japan, September 2018.
  8. K. Hanada, An Averaging Consensus Algorithm and Its Stopping Rule over Noisy Undirected Networks of MIMO Linear Symmetric Agents, the 49th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS ‘17), Hiroshima, Japan, November 2017.
  9. K. Hanada, An Asynchronous Gossip Algorithm with Restart Strategy in Distributed Minimax Optimization, IFAC World Congress 2017, Toulouse, France.
  10. K. Hanada, Convergence Analysis of Stochastic Consensus over Noisy Networks of Linear Symmetric Agents, the 48th International Symposium on Stochastic Systems Theory and Its Applications (SSS ‘16), Fukuoka, Japan, November 2016.
  11. K. Hanada, Distributed Minimax Optimization by an Asynchronous Gossip Algorithm with a Subgradient Method, The SICE Annual Conference 2016, Tsukuba, Japan, September 2016.
  12. K. Hanada, K. Hirayama: Distributed Lagrangian Relaxation Protocol for the Over-constrained Generalized Mutual Assignment Problem, the 14th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-2011), Wollongong, Australia, November 2011.

国内学会

  1. 藤倉駆, 花田研太, 東崇史，松原崇充，杉本謙二: C/GMRES法による非線形モデル予測制御を用いた水中ドローンBlueROV2の制御，第10回計測自動制御学会制御部門マルチシンポジウム，2023年3月.
  2. 藤倉駆, 花田研太, 杉本謙二: C/GMRES法による非線形モデル予測制御を用いた水中ドローンBlueROV2の制御，第66回システム制御情報学会研究発表講演会講演論文予稿集，pp. 425-432, 2022年.
  3. 雨宮裕樹, 花田研太, 杉本謙二: 一般化相互割当問題に対するヒューリスティックアルゴリズムの非同期かつ動的なステップサイズ, 2021年度人工知能学会全国大会（第35回）, 1H3-GS-1b-04, Zoom開催, 2021年6月.
  4. 花田研太, SIR感染症モデルに対するブール式を用いた有界モデル検査, 2021年度人工知能学会全国大会（第35回），2E3-OS-13b-01，Zoom開催，2021年6月.
  5. 花田 研太, 相互依存するネットワーク対でモデル化された電力システムに対するSATによる連鎖障害の解析, 第5回 制御部門マルチシンポジウム, 東京, 2018年3月.
  6. 花田 研太, 合意アルゴリズムの収束性解析とEMS応用, 第8回横幹連合コンファレンス, 京都, 2017年12月.
  7. 花田 研太, 線形対称エージェントによる有向ネットワーク上での確率的合意, 第59回自動制御連合講演会, 北九州, 2016年11月.
  8. 花田 研太, 増床計画付き患者搬送問題の定式化とヒューリスティック解法の提案, 合同エージェントワークショップ & シンポジウム2015 (JAWS-2015), 加賀, 2015年9月 （ポスター発表）.
  9. 花田 研太, Max-SATに対する非厳密解法を用いたラグランジュ分解・調整法, 2015年度人工知能学会全国大会（第29回） (JSAI-2015), 函館, 2015年5月.
  10. 花田 研太, 分散ラグランジュ緩和プロトコルにおけるバンドル法の効果, 合同エージェントワークショップ&シンポジウム2014 (JAWS-2014), 宮崎, 2014年10月.
  11. 花田 研太, Multi-MaxSATにおけるバンドル法の効果, 2013年度人工知能学会全国大会（第27回） (JSAI-2013), 富山, 2013年6月.
  12. 花田 研太,多層一般化相互割当問題の定式化とその解法, 合同エージェントワークショップ&シンポジウム2012 (JAWS-2012), 掛川, 2012年10月.
  13. 花田 研太, 平山勝敏: 過制約な一般化相互割当問題に対する分散ラグランジュ緩和プロトコル，合同エージェントワークショップ&シンポジウム2010 (JAWS-2010), 富良野, 2010年10月.

国際シンポジウム等

  1. K. Hanada, A Stopping Rule for Time Averaging Multi-Agent Consensus over Unbalanced Noisy Networks, SICE International Symposium on Control Systems 2019, Kumamoto, Japan, March 2019.
  2. K. Hanada, Convergence Analysis of Weighted Averaging Consensus for Distributed Power Dispatch with Load Balancing, SICE International Symposium on Control Systems 2018, Tokyo, Japan, March 2018.
  3. K. Hanada, A Restart Strategy with Time Delay in Distributed Minimax Optimization, Workshop on Computation: Theory and Practice WCTP2017, Osaka, Japan, September 2017.
  4. K. Hanada, Time Averaging Consensus over Noisy Networks of Linear Symmetric Agents, SICE International Symposium on Control Systems 2017, Okayama, Japan, March 2017.
  5. K. Hanada, Effect of Bundle Method in Distributed Lagrangian Relaxation Protocol, AAAI-15 Workshop on Planning, Search, and Optimization (PlanSOpt-15), Austin, Texas, January 2015.

研究会

  1. K. Hanada, Patient Transportation Problem with Bed Capacity Management: Formalization and Solution, Workshop for Resilience and Scheduling, Nagasaki, Japan, November 2015.
  2. K. Hanada, Lagrangian Decomposition and Adjustment Method with Incomplete Solver for Max-SAT Problem, Workshop for Computational Techniques for Sustainability and Resilience, Okinawa, Japan, March 2015.
  3. 花田 研太, 分散ラグランジュ緩和プロトコルとその応用, FUN-AI-15, 函館, 2015年3月.
  4. 花田 研太, 分散ラグランジュ緩和プロトコルにおけるバンドル法の効果, 平成26年度第1回DCR研究会, 与那国, 2014年9月.
  5. K. Hanada, Distributed Lagrangian Relaxation Protocol for Generalized Mutual Assignment Problem, JFLI-LIP6-NII Meeting on Efficient Methods for Reasoning and Problem Solving 2013, Paris, France, October 2013.
  6. 花田 研太, Multi-MaxSATを拡張したWeighted Partial Max-SAT Solver，第3回CSPSAT2研究会，札幌, 2013年7月.
  7. 花田 研太, 多層一般化相互割当問題の定式化とその解法, 平成24年度第2回DCR研究会, 屋久島, 2012年9月.

招待講演

  1. 花田 研太, 電力システムにおける分散アルゴリズム，令和2年電気関係学会関西連合大会, 滋賀, 2020年11月．

科学研究費補助金など外部資金等獲得実績

  1. 独立行政法人日本学術振興会科学研究費補助金（基盤研究(B)，研究課題番号21H01353）：計測・通信品質が保証されない環境下の多目的フィードフォワード最適制御と強化学習，研究分担者．
  2. 独立行政法人日本学術振興会科学研究費補助金（基盤研究(B)，研究課題番号18H01462）：計測や通信の品質が保証されない環境下での事象トリガ調整型2自由度制御系，研究分担者（令和2年度より）.
  3. 独立行政法人日本学術振興会科学研究費補助金（特別研究員奨励費，研究課題番号14J02096）：極めて大規模な重み付き部分Max-SAT 問題に対する新しいソルバーの開発，研究代表者, 2,200千円, 平成26年.

受賞

  1. 2011年11月：Runner up for Best Student Paper Award in the 14th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-2011)
  2. 2013年3月：日本船舶海洋工学会奨学褒賞
  3. 2019年9月：A Finalist in the SICE 2019 Annual Conference International Award

2023年10月6日

Posted by Kenta Hanada