Tenure-Track Associate Professor
Nagahara Lab
Graduate School of Advanced Science and Engineering
Hiroshima University

email: mengmou (plus) at (plus) hiroshima-u.ac.jp.com (minus) .com

  1. M. Li, M. Nagahara, Exponential Convergence of Augmented Primal-dual Gradient Algorithms for Partially Strongly Convex Functions, submitted to ACC 2025.

  2. M. Li, T. Hatanaka, M. Nagahara, On the Generalization of the Multivariable Popov Criterion for Slope-Restricted Nonlinearities, accepted by IEEE CDC 2024.

  3. G. Zuo, M. Li, L. Zhu, Prescribed Finite-Time Synchronization of Networked Uncertain Euler-Lagrange Systems.

Journal Papers

  1. M. Li, K. Laib, T. Hatanaka, I. Lestas, Convergence Rate Bounds for the Mirror Descent Method: IQCs, the Popov Criterion and Bregman Divergence, Automatica, 2024.

  2. T. Tanaka, A.D. Carnerero, M. Li, Y. Wasa, K. Hirata, T. Hatanaka, Game-theoretic modelling and analysis of strategic investments for PV and shared battery, SICE Journal of Control, Measurement, and System Integration, vol. 17, no. 1, pp. 222-232, 2024.

  3. A.D. Carnerero, T. Tanaka, M. Li, Y. Wasa, K. Hirata, Y. Ushifusa, T. Hatanaka, Net-Zero Energy House-oriented Linear Programming for the Sizing Problem of Photovoltaic Panels and Batteries, IEEE Access, vol. 12, pp. 80429-80441, 2024.

  4. M. Li, T. Tanaka, A.D. Carnerero, Y. Wasa, K. Hirata, Y. Fujisaki, Y. Ushifusa, T. Hatanaka, Stochastic Optimal Investment Strategy for Net-Zero Energy Houses, IET Renewable Power Generation, 2024.

  5. M. Li, J. Watson, I. Lestas, Distributed Optimal Secondary Frequency Control for Power Systems With Delay Independent Stability, IEEE Transactions on Automatic Control, vol. 69, no. 6, pp. 3748-3763, 2024.

  6. M. Li, I. Lestas, L. Qiu, Parallel Feedforward Compensation for Output Synchronization: Fully Distributed Control and Indefinite Laplacian, Systems & Control Letters, vol. 164, pp. 105250, 2022.

  7. L. Su, M. Li, V. Gupta, and G. Chesi, Distributed Resource Allocation Over Time-Varying Balanced Digraphs With Discrete-time Communication, IEEE Transactions on Control of Network Systems, vol. 9, no. 1, pp. 487-499, 2022.

  8. M. Li, G. Chesi, and Y. Hong, Input-Feedforward-Passivity-Based Distributed Optimization Over Jointly Connected Balanced Digraphs, IEEE Transactions on Automatic Control, vol. 66, no. 9, pp. 4117-4131, 2021.

  9. M. Li, L. Su, T. Liu, Distributed Optimization With Event-triggered Communication via Input Feedforward Passivity, IEEE Control Systems Letters, vol. 5, no. 1, pp. 283--288, 2020.

  10. M. Li, S. Yamashita, T. Hatanaka, G. Chesi, Smooth Dynamics for Constrained Distributed Optimization With Heterogeneous Delays,IEEE Control Systems Letters, vol. 4, no. 3, pp. 626--631, 2020.

  11. S. Yamashita, M. Li, T. Hatanaka, Robustification of Continuous-Time ADMM Against Communication Delays Under Non-Strict Convexity: A Passivity-Based Approach, SICE Journal of Control, Measurement, and System Integration, vol. 13, no. 6, pp. 299-305, 2020.

  12. M. Li, L. Su, and G. Chesi, Consensus of Heterogeneous Multi-Agent Systems With Diffusive Couplings via Passivity Indices, IEEE Control Systems Letters, vol. 3, no. 2, pp. 434--439, 2019.

  13. M. Li, Generalized Lagrange Multiplier Method and KKT Conditions With an Application to Distributed Optimization,IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 66, no. 2, pp. 252-256, 2019.

  1. R. Xiong, H. Jing, M. Li, Y. Shi, M. Taya, T. Hatanaka, Y. Nakahira and P. Tang, Optimizing HVAC Systems for Energy Efficiency and Comfort: A Scalable and Robust Multi-Zone Control Approach with Uncertainty Considerations, 2023 ASCE International Conference on Computing in Civil Engineering (i3CE 2023), 2023.

  2. M. Li, K. Laib, I. Lestas, Convergence Rate Bounds for the Mirror Descent Method: IQCs and the Bregman Divergence, 2022 IEEE 61st Conference on Decision and Control (CDC), 6326--6331, 2022.

  3. L. Zhu, Y. Zeng, M. Li, Distributed Formation Control via Distributed Optimization, 17th IEEE International Conference on Control & Automation (ICCA), 874--879, 2022.

  4. M. Li, G. Chesi and Y. Hong, Input-Feedforward-Passivity-Based Distributed Optimization Over Directed and Switching Topologies, 58th IEEE Conference on Decision and Control (CDC), 2019.

  5. M. Li, T. Liu, Distributed Robust Resource Allocation With Convex-Concave Uncertain Objective Functions, 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), 2018.

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