Y. Onoue and K. Hashimoto: Learning-based Event-triggered MPC with Gaussian processes and terminal constraints, [arxiv]

K. Hashimoto: Periodic event-triggered design with Bayesian optimization: an emulation-based approach 

W Hashimoto, K Hashimoto, A Wachi, X Shen, M Kishida, S Takai : Bayesian Meta-Learning on Control Barrier Functions with Data from On-Board Sensors [arxiv] 

Y. Takayama, K. Hashimoto, T. Ohtsuka: STLCCP: An Efficient Convex Optimization-based Framework for Signal Temporal Logic Specifications [arxiv] 

W. Zhijun, K. Hashimoto, W. Hashimoto, S. Takai: A Lifting Approach to Learning-Based Self-Triggered Control with Gaussian Processes, Advanced Robotics (2024) [arxiv] 

 L. Ding, K. Hashimoto, S. Takai: Synthesis of event-triggered controllers for SIRS epidemic models, Nonlinear Analysis: Hybrid Systems (2024) [link]  

 X. Shen, Y. Zhang, X. Zhang, P. Raksincharoensak and K. Hashimoto, "Robust Optimal Braking Policy for Avoiding Collision With Front Bicycle," IEEE Open Journal of Intelligent Transportation Systems (2023) [link] 

 K. Rani, N. Ozaki, Y. Hironaka, K. Hashimoto, R. Kodama, Kanji Mukai, Hirotaka Nakamura, Shigemasa Takai, and Hideo Nagatomo: Prediction of superimposed laser shot number for copper using deep convolutional neural network; Optics Express, Vol. 31, No. 15/17, pp. 24045-24053, 2023.

 K. Hashimoto, A. Saoud, M. Kishida, T. Ushio, D. V. Dimarogonas: Learning-based symbolic abstractions for nonlinear control systems, Automatica (full paper, 2022) [arxiv]  

W. Hashimoto, K. Hashimoto, S. Takai: STL2vec: Signal Temporal Logic Embeddings for Control Synthesis With Recurrent Neural Networks, IEEE Robotics & Automation Letters (in press, supported by JST CREST)  [arxiv] [JST Press Release]

 K. Hashimoto, N. Tsumagari, T. Ushio: Collaborative rover-copter path planning and exploration with temporal logic specifications based on Bayesian update under uncertain environments, ACM Transactions on Cyber Physical Systems (in press) [arxiv] 

K. Hashimoto*, Y. Onoue*, M. Ogura, T. Ushio: Event-triggered control for mitigating SIS spreading processes, Annual Reviews in Control, vol. 52, pp. 479-494 (2021) [link]  [arxiv] 

 K. Hashimoto, Y. Yoshimura, T. Ushio: “Learning self-triggered controllers with Gaussian processes”, IEEE Transactions on Cybernetics, vol. 51, no. 12, pp. 6294-6304 (2021) [link]  

 K. Hashimoto, M. Kishida, Y. Yoshimura, T. Ushio: A Bayesian optimization approach to decentralized event-triggered control, IEICE Transactions on Fundamentals, Vol. E 104-A, No. 2, pp. 447-454 (2021) 

 Y. Yoshimura, K. Hashimoto, T. Ushio: "Design of event-triggered controllers using Gaussian Processes", Transactions of the Institute of Systems Control and Information Engineers (in Japanese), Vol. 33, No. 7, pp. 219-228 (2020) 

 K. Hashimoto, M. Chong, and D. V. Dimarogonas: “Distributed L1 state-and-fault estimation for multi-agent systems”, IEEE Transactions on Control of Network Systems, Vol.7, No.2, pp 699-710 (2020)  [link] 

 K. Hashimoto and D. V. Dimarogonas: “Synthesizing communication plans for reachability and safety specifications”, IEEE Transactions on Automatic Control, Vol.65, No.2, pp.561-576 (2020)  [link] 

 K. Hashimoto and D. V. Dimarogonas: “Resource-aware networked control systems under temporal logic specifications”, Discrete Event Dynamic Systems, Vol. 29, No. 4, pp. 473-499 (2019) [link] 

 K. Hashimoto, A. Saoud, M. Kishida, T. Ushio, and D. V. Dimarogonas: “A symbolic approach to the self-triggered design for networked control systems”, IEEE Control Systems Letters, Vol. 3, No. 4, pp. 1050-1055 (2019) [link] 

 K. Hattaha，K. Hashimoto，M. Inoue，S. Adachi et al.: “Reachability analysis and Safety verification method for Turbocharged System with Uncertainties”, Journal of Automotive Engineering, Vol. 50, No. 3, pp. 957-962 (2019)

 M. Hirano, K. Hashimoto, F. Nakagawa, T. Ido, Y. Hanado, and S. Adachi: “State estimation for multiple clocks under anomalies using L1-norm optimization”, Metrologia, Vol. 56, No.2 (2019) 

K. Hashimoto, S. Adachi, D. V. Dimarogonas: “Aperiodic sampled-data control via explicit transmission mapping: a set-invariance approach”, IEEE Transactions on Automatic Control, Vol. 63, No. 10, pp. 3523-3530 (2018) [link] 

K. Hashimoto, S. Adachi, D. V. Dimarogonas: “Self-triggered model predictive control for nonlinear input-affine dynamical systems via adaptive control samples selection”, IEEE Transactions on Automatic Control, Vol. 62, No. 1, pp. 177-189, (2017) [link] 

K. Hashimoto, S. Adachi, D. V. Dimarogonas: “Event-triggered intermittent sampling for nonlinear model predictive control”, Automatica, Vol. 81, pp. 148-155 (2017) [link] 

 K. Hashimoto, S. Adachi, D. V. Dimarogonas: “Distributed aperiodic model predictive control for multi-agent systems”, IET Control Theory and Applications, Vol. 9, No. 1, pp. 10-20 (2015) [link] 

K. Hashimoto, “Safe and active parameter exploration for event-triggered control”, in Proceedings of the 16th IEEE International Conference on Control & Automation (ICCA), presented online, pp. 19-24, October, 2020 (Best paper award finalist).

T. Kinugawa, K. Hashimoto and T. Ushio, “Control of timed discrete event systems with ticked linear temporal logic constraints”, in Proceedings of the 21st IFAC World Congress, presented online, pp. 2173-2178, July, 2020.

Y. Kikuchi, H. Inoue, K. Hashimoto and S. Adachi, “Path Planning for Lunar Polar Exploration Mission Using Linear Temporal Logic”, in Proceedings of 2020 AIAA SciTech Forum, Orland, Florida, USA, pp. 1-9, January, 2020.

K. Hashimoto, M. S. Chong, and D. V. Dimarogonas, “Realtime L1-fault-and-state estimation for multi-agent systems”, in Proceedings of 2019 American Control Conference (ACC), pp. 1175-1180, Philadelphia, USA, May, 2019.

K. Hashimoto, S. Adachi, and D. V. Dimarogonas, “Energy-aware networked control systems under temporal logic specifications”, In Proceedings of 57th IEEE Conference on Decision and Control (IEEE CDC), pp. 132-139, Miami Beach, USA, December 2018.

K. Hashimoto, S. Adachi, and D. V. Dimarogonas, “Self-triggered control for constrained systems:a contractive set-based approach”, in Proceedings of 2017 American Control Conference (ACC), pp. 1011-1016, Seattle, USA, July, 2017.

K. Hashimoto, S. Adachi, and D. V. Dimarogonas, “Robust safety controller synthesis using tubes”, in Proceedings of the 56th IEEE Conference on Decision and Control (IEEE CDC), pp. 535-541, Melbourne, Australia, December, 2017.

K. Hashimoto, S. Adachi, and D. V. Dimarogonas,，“A collision-free communication scheduling for nonlinear model predictive control”, in Proceedings of the 20th IFAC World Congress, pp. 8939-8944, Toulouse, France, July, 2017.  

K. Hashimoto, S. Adachi, and D. V. Dimarogonas,  “Self-triggered model predictive control for continuous-time systems: A multiple discretizations approach”, in Proceedings of the 55th IEEE Conference on Decision and Control (IEEE CDC), pp. 3078-3083, Las Vegas, USA, December, 2016.

K. Hashimoto, S. Adachi, and D. V. Dimarogonas, “Time-constrained event-triggered model predictive control for nonlinear continuous-time systems”, in Proceedings of the 54th IEEE Conference on Decision and Control (IEEE CDC), pp. 4326-4331, Osaka, Japan, December, 2015.

K. Hashimoto, S. Adachi, and D. V. Dimarogonas, “Self-triggered nonlinear model predictive control for networked control systems”, in Proceedings of American Control Conference (ACC), pp. 4329-4244, Chicago, USA, May, 2015.

K. Hashimoto, S. Adachi, and D. V. Dimarogonas, “Distributed event-based model predictive control for multi-agent systems under disturbances”, International conference on Network Games, Control, and Optimization (NetGCooP), pp. 255-261, Trento, Italy, October, 2014.