Achievements

“Shepherding as a paradigm for swarm control,” 2024 IEEE International Conference on Cyborg and Bionic Systems, 2024.

S. Yang, H. Zhao, M. Ogura, and L. Peng, “Data-driven adaptive optimal output tracking with assured convergence rate,” Journal of the Franklin Institute, vol. 362, no. 16, p. 108086, 2025.

[DOI] [http]

F. Sato, M. Ogura, A. Sashie, Y. Bai, M. Shimono, and N. Wakamiya, “Neural SDE-based spike control of noisy neurons,” PLOS One, vol. 20, no. 9, p. e0330607, 2025.

[DOI] [http]

Y. Deng, M. Ogura, Y. Bai, Y. Wang, and M. Feroskhan, “Safety-critical control for nonlinear systems with complex input constraints,” IEEE Transactions on Automatic Control, vol. 70, no. 10, pp. 7016-7023, 2025.

[DOI] [arXiv] [http]

R. Nagai, Y. Bai, M. Ogura, S. Kotsuki, and N. Wakamiya, “Evaluation of effectiveness of intervention strategy in control simulation experiment through comparison with model predictive control,” Nonlinear Processes in Geophysics, vol. 32, no. 3, pp. 281-292, 2025.

[DOI] [http]

T. Ohtsuka, A. Okazaki, M. Ogura, and S. Kotsuki, “Convex optimization of initial perturbations toward quantitative weather control,” Scientific Online Letters on the Atmosphere, vol. 21, pp. 2025-020, 2025.

[DOI] [arXiv] [http]

A. Li, M. Ogura, and N. Wakamiya, “Swarm shepherding using bearing-only measurements,” Philosophical Transactions of the Royal Society A, vol. 383, no. 2289, p. 20240145, 2025.

[DOI] [http]

Y. Bai, P. T. T. Ngoc, H. D. Nguyen, D. L. Le, Q. H. Ha, K. Kai, Y. X. S. To, Y. Deng, J. Song, N. Wakamiya, H. Sato, and M. Ogura, “Swarm navigation of cyborg-insects in unknown obstructed soft terrain,” Nature Communications, vol. 16, p. Article number: 221, 2025.

[DOI] [arXiv] [http]

A. Fujioka, M. Ogura, and N. Wakamiya, “Cyclic pursuit formation control for arbitrary desired shapes,” Journal of the Franklin Institute, vol. 362, no. 2, p. 107467, 2025.

[DOI] [http]

J. Aizawa, M. Ogura, M. Shimono, and N. Wakamiya, “Firing pattern manipulation of neuronal networks by deep unfolding‐based model predictive control,” IET Control Theory & Applications, vol. 18, no. 15, pp. 2003-2013, 2024.

[DOI] [http]

C. Zhao, B. Zhu, M. Ogura, and J. Lam, “Probability rate optimization of positive Markov jump linear systems via DC programming,” Asian Journal of Control, vol. 26, no. 5, pp. 2242-2249, 2024.

[DOI] [http]

J. J. R. Liu, M. Ogura, Q. Li, and J. Lam, “Learning-based stabilization of Markov jump linear systems,” Neurocomputing, vol. 584, p. 127618, 2024.

[DOI] [http]

A. Sashie and M. Ogura, “Effects of differences in swimming speed on heterogeneous fish schools in a set-net environment,” in 2025 SICE Festival with Annual Conference, 2025, pp. 171-174.

H. Maeda and M. Ogura, “Modeling and analysis of locust swarms with OR35-deficient individuals,” in 2025 SICE Festival with Annual Conference, 2025, pp. 168-170.

Y. Higuchi, N. Rikuto, A. Okazaki, M. Ogura, and N. Wakamiya, “Comparative analysis of black-box optimization methods for weather intervention design,” in 25th International Conference on Computational Science, 2025, pp. 194-209.

[DOI] [arXiv]

W. Imahayashi, T. Tokugawa, K. Koitabashi, Y. Tsunoda, M. Ogura, and S. Muto, “Actual experiment using mobile robot in sheepdog system -guidance route design using traveling salesman problem-,” in SICE Festival 2024 with Annual Conference, 2024.