[4] | C. Zhao, B. Zhu, M. Ogura, and J. Lam, “Probability rate optimization of positive Markov jump linear systems via DC programming,” Submitted for publication. |
[3] | C. Zhao, B. Zhu, M. Ogura, and J. Lam, “Parametrized synthesis of discrete-time positive linear systems: a geometric programming perspective,” Submitted for publication. |
[2] | R. Liu, M. Ogura, E. F. D. Reis, and N. Masuda, “Effects of concurrency on epidemic spreading in Markovian temporal networks,” Submitted for publication. [ arXiv | http ] |
[1] | J. J. R. Liu, M. Ogura, and J. Lam, “Learning-based stabilization of Markov jump linear systems,” Submitted for publication. |
[3] | V. M. Preciado, M. Zargham, C. Nowzari, S. Han, M. Ogura, A. Jadbabaie, and G. J. Pappas, “Bio-inspired Framework for Allocation of Protection Resources in Cyber-Physical Networks,” in Principles of Cyber-Physical Systems. Cambridge University Press, 2020, pp. 293-322. [ DOI | arXiv | http ] |
[2] | M. Ogura and V. M. Preciado, “Optimal Containment of Epidemics in Temporal and Adaptive Networks,” in Temporal Networks Epidemiology. Springer, 2017, pp. 241-266. [ DOI | arXiv | http ] |
[1] | M. Ogura and C. F. Martin, “Linear Switching Systems and Random Products of Matrices,” in Mathematical System Theory - Festschrift in Honor of Uwe Helmke on the Occasion of his Sixtieth Birthday, K. Hüper and J. Trumpf, Eds. CreateSpace, 2013, pp. 291-300. |
[11] | “Perspectives on Artificial Intelligence,” 2nd Japanese-Canadian Frontiers of Science (JCFoS) Symposium, 2023. [ http ] |
[10] | “When deep unfolding meets control engineering,” 37th International Technical Conference on CircuitsSystems, Computers and Communications, 2022. [ http ] |
[9] | “Optimization of positive linear systems via geometric programming,” Shenzhen University, 2019. [ http ] |
[8] | “Optimization of positive linear systems via geometric programming,” Guandong University of Technology, 2019. |
[7] | “Synthesis of positive linear systems by geometric programming,” University of Hong Kong, 2019. [ http ] |
[6] | “Networked epidemic spreading: modeling, analysis, and control,” National Insitutite of Informatics, 2018. |
[5] | “Network epidemiology and control theory,” University of Hong Kong, 2018. [ http ] |
[4] | “Analysis and control of spreading processes over complex networks,” Washington State University, 2017. |
[3] | “Analysis and control of spreading processes over complex networks,” Tokyo University of Agriculture and Technology, 2016. [ http ] |
[2] | “Stability analysis of switched linear systems with non-traditional switching signals,” in GRASP special seminar, University of Pennsylvania, 2014. [ http ] |
[1] | “Mean stability of switched linear systems,” Université Catholique de Louvain, 2013. [ http ] |
[44] | M. Ogura and C. F. Martin, “Mean escape time of switched Riccati differential equations,” Journal of the Franklin Institute, vol. 360, no. 10, pp. 6827-6845, 2023. [ DOI | arXiv | http ] |
[43] | C. Zhao, K. Sakurama, and M. Ogura, “Optimization of buffer networks via DC programming,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 70, no. 2, pp. 606-610, 2023. [ DOI | http ] |
[42] | M. Ogura and N. Wakamiya, “Reduced-order model predictive control of a fish schooling model,” Nonlinear Analysis: Hybrid Systems, vol. 49, p. 101342, 2023. [ DOI | arXiv | http ] |
[41] | X. Gong, M. Ogura, J. Shen, T. Huang, and Y. Cui, “Optimal epidemics policy seeking on networks-of-networks under malicious attacks by geometric programming,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 6, pp. 3845-3857, 2023. [ DOI | http ] |
[40] | A. Li, M. Ogura, and N. Wakamiya, “Communication-free shepherding navigation with multiple steering agents,” Frontiers in Control Engineering, vol. 4, 2023. [ DOI | arXiv | http ] |
[39] | A. Fujioka, M. Ogura, and N. Wakamiya, “Shepherding algorithm for heterogeneous flock with model-based discrimination,” Advanced Robotics, vol. 37, no. 1-2, pp. 99-114, 2023. [ DOI | arXiv | http ] |
[38] | B. Zhu, J. Lam, and M. Ogura, “Log-log convexity of an optimal control problem for positive linear systems,” Automatica, vol. 146, p. 110553, 2022. [ DOI | http ] |
[37] | M. Nagahara, M. Ogura, and Y. Yamamoto, “Iterative greedy LMI for sparse control,” IEEE Control Systems Letters, vol. 6, pp. 986-991, 2022. [ DOI | http ] |
[36] | M. Kumazaki, M. Ogura, and T. Tachibana, “Dynamic service chain construction based on model predictive control in NFV environments,” IEICE Transactions on Communications, vol. E105-B, no. 4, 2022. [ DOI | http ] |
[35] | R. Himo, M. Ogura, and N. Wakamiya, “Iterative algorithm for shepherding unresponsive sheep,” Mathematical Biosciences and Engineering, vol. 19, no. 4, pp. 3509-3525, 2022. [ DOI | http ] |
[34] | M. Kishida* and M. Ogura*, “Temporal deep unfolding for constrained nonlinear stochastic optimal controls,” IET Control Theory & Applications, vol. 16, no. 2, pp. 139-150, 2022. (*equal contribution) [ DOI | http ] |
[33] | K. Hashimoto, Y. Onoue, M. Ogura, and T. Ushio, “Event-triggered control for mitigating SIS spreading processes,” Annual Reviews in Control, vol. 52, pp. 479-494, 2021. [ DOI | arXiv | http ] |
[32] | T. Kimura and M. Ogura, “Distributed 3D deployment of aerial base stations for on-demand communication,” IEEE Transactions on Wireless Communications, vol. 20, no. 12, pp. 7728-7742, 2021. [ DOI | http ] |
[31] | 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. [ DOI | http ] |
[30] | M. Nagahara, B. Krishnamachari, M. Ogura, A. Ortega, Y. Tanaka, Y. Ushifusa, and T. W. Valente, “Control, intervention, and behavioral economics over human social networks against COVID-19,” Advanced Robotics, vol. 35, no. 11, pp. 733-739, 2021. [ DOI | http ] |
[29] | C. Zhao, M. Ogura, M. Kishida, and A. Yassine, “Optimal resource allocation for dynamic product development process via convex optimization,” Research in Engineering Design, vol. 32, no. 1, pp. 71-90, 2021. [ DOI | arXiv | http ] |
[28] | X. Chen, M. Ogura, and V. M. Preciado, “SDP-Based moment closure for epidemic processes on networks,” IEEE Transactions on Network Science and Engineering, vol. 7, no. 4, pp. 2850-2865, 2020. [ DOI | http ] |
[27] | M. Ogura, M. Kishida, and J. Lam, “Geometric programming for optimal positive linear systems,” IEEE Transactions on Automatic Control, vol. 65, no. 11, pp. 4648-4663, 2020. [ DOI | arXiv | http ] |
[26] | W. Mei, C. Zhao, M. Ogura, and K. Sugimoto, “Mixed H_{2}/H_{∞} control of delayed Markov jump linear systems,” IET Control Theory & Applications, vol. 14, no. 15, pp. 2076-2083, 2020. [ DOI | arXiv | http ] |
[25] | C. Zhao, M. Ogura, and K. Sugimoto, “Stability optimization of positive semi-Markov jump linear systems via convex optimization,” SICE Journal of Control, Measurement, and System Integration, vol. 13, no. 5, pp. 233-239, 2020. [ DOI | arXiv | http ] |
[24] | M. Kishida*, M. Ogura*, Y. Yoshida, and T. Wadayama, “Deep learning-based average consensus,” IEEE Access, vol. 8, pp. 142404 - 142412, 2020. (*equal contribution) [ DOI | arXiv | http ] |
[23] | X. Chen, M. Ogura, and V. M. Preciado, “Bounds on the spectral radius of digraphs from motif counts,” SIAM Journal on Matrix Analysis and Applications, vol. 41, no. 2, pp. 525-553, 2020. [ DOI | http ] |
[22] | N. Masuda, V. M. Preciado, and M. Ogura, “Analysis of the susceptible-infected-susceptible epidemic dynamics in networks via the non-backtracking matrix,” IMA Journal of Applied Mathematics, vol. 85, no. 2, pp. 214-230, 2020. [ arXiv | http ] |
[21] | M. Ogura, W. Mei, and K. Sugimoto, “Synergistic effects in networked epidemic spreading dynamics,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 67, no. 3, pp. 496-500, 2020. [ DOI | arXiv | http ] |
[20] | M. Ogura and V. M. Preciado, “Stability of SIS spreading processes in networks with non-Markovian transmission and recovery,” IEEE Transactions on Control of Network Systems, vol. 7, no. 1, pp. 349-359, 2020. [ DOI | arXiv | http ] |
[19] | Y. Abe, M. Ogura, H. Tsuji, A. Miura, and S. Adachi, “Resource and network management framework for a large-scale satellite communications system,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E103, no. 2, pp. 492-501, 2020. Telecom System Technology Student Award, Telecommunication Advancement Foundation. [ DOI | http ] |
[18] | M. Ogura, J. Harada, M. Kishida, and A. Yassine, “Resource optimization of product development projects with time-varying dependency structure,” Research in Engineering Design, vol. 30, no. 3, pp. 435-452, 2019. [ DOI | arXiv | http ] |
[17] | M. Ogura, V. M. Preciado, and N. Masuda, “Optimal containment of epidemics over temporal activity-driven networks,” SIAM Journal on Applied Mathematics, vol. 79, no. 3, pp. 986-1006, 2019. [ DOI | arXiv | http ] |
[16] | W. Mei and M. Ogura, “Kronecker weights for instability analysis of Markov jump linear systems,” IET Control Theory & Applications, vol. 13, no. 3, pp. 360-366, 2019. [ DOI | arXiv | http ] |
[15] | M. Wakaiki, M. Ogura, and J. P. Hespanha, “LQ-optimal sampled-data control under stochastic delays: gridding approach for stabilizability and detectability,” SIAM Journal on Control and Optimization, vol. 56, no. 4, pp. 2634-2661, 2018. [ DOI | arXiv | http ] |
[14] | M. Ogura and V. M. Preciado, “Second-order moment-closure for tighter epidemic thresholds,” Systems & Control Letters, vol. 113, pp. 59-64, 2018. [ DOI | arXiv | http ] |
[13] | M. Ogura, A. Cetinkaya, T. Hayakawa, and V. M. Preciado, “State feedback control of Markov jump linear systems with hidden-Markov mode observation,” Automatica, vol. 89, pp. 65-72, 2018. [ DOI | arXiv | http ] |
[12] | M. Ogura and V. M. Preciado, “Optimal design of switched networks of positive linear systems via geometric programming,” IEEE Transactions on Control of Network Systems, vol. 4, no. 2, pp. 213-222, 2017. [ DOI | arXiv ] |
[11] | M. Ogura, M. Wakaiki, H. Rubin, and V. M. Preciado, “Delayed bet-hedging resilience strategies under environmental fluctuations,” Physical Review E, vol. 95, p. 052404, 2017. [ DOI | arXiv | http ] |
[10] | M. Ogura, V. M. Preciado, and R. M. Jungers, “Efficient method for computing lower bounds on the p-radius of switched linear systems,” Systems & Control Letters, vol. 94, pp. 159-164, 2016. [ DOI | arXiv | http ] |
[9] | M. Ogura and V. M. Preciado, “Epidemic processes over adaptive state-dependent networks,” Physical Review E, vol. 93, p. 062316, 2016. [ DOI | arXiv | http ] |
[8] | M. Ogura and V. M. Preciado, “Stability of Markov regenerative switched linear systems,” Automatica, vol. 69, pp. 169-175, 2016. [ DOI | arXiv | http ] |
[7] | M. Ogura and V. M. Preciado, “Stability of spreading processes over time-varying large-scale networks,” IEEE Transactions on Network Science and Engineering, vol. 3, no. 1, pp. 44-57, 2016. Runner-up of 2019 IEEE TNSE Best Paper Award. [ DOI | arXiv | http ] |
[6] | M. Ogura and C. F. Martin, “Stability analysis of linear systems subject to regenerative switchings,” Systems & Control Letters, vol. 75, pp. 94-100, 2015. [ DOI | http ] |
[5] | M. Ogura and C. F. Martin, “A limit formula for joint spectral radius with p-radius of probability distributions,” Linear Algebra and its Applications, vol. 458, pp. 605-625, 2014. [ DOI | arXiv | http ] |
[4] | M. Ogura and C. F. Martin, “Stability analysis of positive semi-Markovian jump linear systems with state resets,” SIAM Journal on Control and Optimization, vol. 52, pp. 1809-1831, 2014. [ DOI | arXiv | http ] |
[3] | M. Ogura and C. F. Martin, “Generalized joint spectral radius and stability of switching systems,” Linear Algebra and its Applications, vol. 439, no. 8, pp. 2222-2239, 2013. [ DOI | http ] |
[2] | M. Ogura and Y. Yamamoto, “Dissipativity of pseudorational behaviors,” IEEE Transactions on Automatic Control, vol. 58, no. 4, pp. 823-833, 2013. [ DOI | http ] |
[1] | M. Nagahara, M. Ogura, and Y. Yamamoto, “H^{∞} design of periodically nonuniform interpolation and decimation for non-band-limited signals,” SICE Journal of Control, Measurement, and System Integration, vol. 4, no. 5, pp. 341-348, 2011. 2012 SICE Best Paper Award. [ DOI | http ] |
[60] | A. Fujioka, M. Ogura, and N. Wakamiya, “Proposal and evaluation of pursuit formations based on cyclic pursuit dynamics,” in 2023 International Symposium on Nonlinear Theory and its Applications (accepted), 2023. |
[59] | Y. Deng, A. Li, M. Ogura, and N. Wakamiya, “Collision-free shepherding control of a single target within a swarm,” in 2023 IEEE International Conference on Systems, Man, and Cybernetics (accepted), 2023. |
[58] | M. Ogura and V. M. Preciado, “Asynchronous temporal interactions promote disparity in networks,” in 2023 International Symposium on Nonlinear Theory and its Applications (accepted), 2023. |
[57] | A. Fujioka, M. Ogura, and N. Wakamiya, “Shepherding heterogeneous flocks: overview and prospect,” in 22nd IFAC World Congress (accepted), 2023. [ arXiv ] |
[56] | J. Aizawa, M. Ogura, M. Shimono, and N. Wakamiya, “Temporal deep unfolding-based MPC for controlling firing patterns of neuronal network.” in 2023 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing, 2023. |
[55] | C. Zhao, X. Gong, Y. Ebihara, and M. Ogura, “Impulse-to-peak optimization of positive linear systems via DC drogramming,” in 22nd IFAC World Congress (accepted), 2023. |
[54] | A. Li, M. Ogura, and N. Wakamiya, “Proposal of a bearing-only shepherding algorithm with limited sensing capabilities,” in AROB-ISBC-SWARM 2023, 2023, pp. GS34-1. |
[53] | Y. Deng, M. Ogura, A. Li, and N. Wakamiya, “Shepherding control for separating a single agent from a swarm,” in 1st IFAC Workshop on Control of Complex Systems, 2022, pp. 217-222. [ DOI | arXiv | http ] |
[52] | A. Li, M. Ogura, Y. Tsunoda, and N. Wakamiya, “Proposal of farthest-agent targeting algorithm with indirect chasing,” in SICE Annual Conference 2022, 2022, pp. 92-94. |
[51] | A. Fujioka, M. Ogura, and N. Wakamiya, “Shepherding algorithm based on variant agent detection for heterogeneous flock,” in SICE Annual Conference 2022, 2022, pp. 87-91. Finalists of SICE Annual Conference 2022 Young Author's Award. [ DOI | http ] |
[50] | M. Ogura, K. Kobayashi, and K. Sugimoto, “Static output feedback synthesis of time-delay linear systems via deep unfolding,” in 17th IFAC Workshop on Time Delay Systems, 2022, pp. 214-215. [ arXiv ] |
[49] | M. Kishida and M. Ogura, “Temporal deep unfolding for nonlinear stochastic optimal control,” in 7th International Conference on Advances in Control & Optimization of Dynamical Systems, 2022, pp. 908-913. [ DOI ] |
[48] | M. Ogura and N. Wakamiya, “Model predictive control of fish schooling model with reduced-order prediction model,” in 60th IEEE Conference on Decision and Control, 2021, pp. 4115-4120. [ DOI | http ] |
[47] | M. Kishida and M. Ogura, “Temporal deep unfolding for nonlinear maximum hands-off control,” in SICE Annual Conference 2021, 2021, pp. 1007-1010. [ arXiv ] |
[46] | K. Kobayashi, M. Ogura, T. Kobayashi, and K. Sugimoto, “Deep unfolding-based output feedback control design for linear systems with input saturation,” in SICE International Symposium on Control Systems 2021, 2021, pp. 33-39. [ DOI | arXiv | http ] |
[45] | M. Kumazaki, M. Ogura, and T. Tachibana, “Service chain construction with efficient VNF sharing based on model predictive control,” in 2020 International Conference on Emerging Technologies for Communications, 2020, pp. M1-5. [ DOI ] |
[44] | K. Sugimoto, M. Ogura, K. Hanada, and T. Aihara, “Sampled-data suboptimal state estimation over lossy networks,” in 52nd ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 2020. [ DOI | http ] |
[43] | C. Zhao, M. Ogura, and K. Sugimoto, “Finite-time control of discrete-time positive linear systems via convex optimization,” in SICE Annual Conference 2020, 2020, pp. 1230-1235. [ DOI | arXiv | http ] |
[42] | Y. Abe, M. Ogura, H. Tsuji, A. Miura, and S. Adachi, “Resource and network management for satellite communications systems: a chance-constrained approach,” in 21th IFAC World Congress, 2020, pp. 3304-3309. [ DOI | http ] |
[41] | T. Kimura and M. Ogura, “Distributed collaborative 3D-deployment of UAV base stations for on-demand coverage,” in IEEE INFOCOM 2020. IEEE, 2020, pp. 1748-1757. Acceptance rate 19.8 percent. [ DOI | arXiv | http ] |
[40] | M. Aida, C. Takano, and M. Ogura, “On the fundamental equation of user dynamics and the structure of online social networks,” in NetSci-X 2020, 2020, pp. 155-170. [ DOI | arXiv | http ] |
[39] | M. Ogura, M. Kishida, K. Hayashi, and J. Lam, “Geometric programming for optimizing stability of distributed power control algorithms,” in SICE Annual Conference 2019, 2019, pp. 679-680. |
[38] | M. Ogura, M. Kishida, and A. Yassine, “Optimizing product development projects under asynchronous and aperiodic system-local interactions,” in 21st International DSM Conference, 2019, pp. 97-106. [ DOI | http ] |
[37] | M. Ogura, W. Mei, and K. Sugimoto, “Upper-bounding dynamics on networked synergistic susceptible-infected-susceptible model,” in SICE Annual Conference 2019, 2019, pp. 1430-1431. |
[36] | M. Ogura, M. Kishida, K. Hayashi, and J. Lam, “Resource allocation for robust stabilization of Foschini-Miljanic Algorithm,” in 2019 American Control Conference, 2019, pp. 4030-4035. [ DOI | http ] |
[35] | M. Kumazaki, M. Ogura, and T. Tachibana, “VNF management with model predictive control for multiple service chains,” in IEEE International Conference on Consumer Electronics - Taiwan, 2019. [ http ] |
[34] | T. Tadenuma, M. Ogura, and K. Sugimoto, “Sampled-data state observation over lossy networks under round-robin scheduling,” in 5th IFAC Conference on Analysis and Control of Chaotic Systems, 2018, pp. 197-202. Young Author Award Finalist. [ DOI | arXiv | http ] |
[33] | W. Mei and M. Ogura, “Instability analysis of Markov jump linear systems by spectral optimization,” in SICE Annual Conference 2018, 2018, pp. 419-422. |
[32] | M. Ogura, J. Wan, and S. Kasahara, “Model predictive control for energy-efficient operation of data centers with cold aisle containments,” in 6th IFAC Conference on Nonlinear Model Predictive Control, 2018, pp. 241-246. [ DOI | arXiv | http ] |
[31] | M. Ogura and J. Harada, “Resource allocation for containing epidemics from temporal network data,” in 23rd International Symposium on Mathematical Theory of Networks and Systems, 2018, pp. 537-542. [ arXiv | .pdf ] |
[30] | M. Ogura, J. Tagawa, and N. Masuda, “Distributed agreement on activity driven networks,” in 2018 American Control Conference, 2018, pp. 4147-4152. [ DOI | arXiv | http ] |
[29] | X. Chen, M. Ogura, K. R. Ghusinga, A. Singh, and V. M. Preciado, “Semidefinite bounds for moment dynamics: Application to epidemics on networks,” in 56th IEEE Conference on Decision and Control, 2017, pp. 2448-2454. [ DOI | http ] |
[28] | M. Wakaiki, M. Ogura, and J. P. Hespanha, “Linear quadratic control for sampled-data systems with stochastic delays,” in 2017 American Control Conference, 2017, pp. 1978-1983. [ DOI | http ] |
[27] | M. Ogura and V. M. Preciado, “Katz centrality of Markovian temporal networks: analysis and optimization,” in 2017 American Control Conference, 2017, pp. 5001-5006. [ DOI | arXiv ] |
[26] | M. Ogura, M. Wakaiki, and V. M. Preciado, “Dynamic analysis of bet-hedging strategies as a protection mechanism against environmental fluctuations,” in 55th IEEE Conference on Decision and Control, 2016, pp. 4178-4183. [ DOI | arXiv ] |
[25] | M. Ogura and V. M. Preciado, “Efficient containment of exact SIR Markovian processes on networks,” in 55th IEEE Conference on Decision and Control, 2016, pp. 967-972. 平成29年度計測自動制御学会関西支部支部長賞奨励賞. [ DOI | arXiv ] |
[24] | M. Wakaiki, M. Ogura, and J. P. Hespanha, “Robust stability under asynchronous sensing and control,” in 55th IEEE Conference on Decision and Control, 2016, pp. 5962-5967. [ DOI | http ] |
[23] | M. Ogura, A. Cetinkaya, T. Hayakawa, and V. M. Preciado, “Efficient criteria for stability of large-scale networked control systems,” in 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2016, pp. 13-18. [ DOI | http ] |
[22] | V. M. Preciado and M. Ogura, “Structural analysis of spreading processes from ego-nets,” in 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2016, pp. 345-350. [ DOI | http ] |
[21] | M. Ogura and V. M. Preciado, “Optimal design of networks of positive linear systems under stochastic uncertainty,” in 2016 American Control Conference, 2016, pp. 2930-2935. [ DOI | arXiv | http ] |
[20] | M. Ogura, M. Wakaiki, J. P. Hespanha, and V. M. Preciado, “L^{2}-gain analysis of regenerative switched linear systems under sampled-data state-feedback control,” in 2016 American Control Conference, 2016, pp. 709-714. [ DOI | http ] |
[19] | M. Ogura and V. M. Preciado, “Spreading processes over socio-technical networks with phase-type transmissions,” in 54th IEEE Conference on Decision and Control, 2015, pp. 3548-3553. [ DOI | arXiv | http ] |
[18] | M. Ogura and V. M. Preciado, “Cost-optimal switching protection strategy in adaptive networks,” in 54th IEEE Conference on Decision and Control, 2015, pp. 3574-3579. [ DOI | arXiv | http ] |
[17] | C. Nowzari, M. Ogura, V. M. Preciado, and G. J. Pappas, “A general class of spreading processes with non-Markovian dynamics,” in 54th IEEE Conference on Decision and Control, 2015, pp. 5073-5078. [ DOI | arXiv | http ] |
[16] | M. Ogura, M. Nagahara, and V. M. Preciado, “L^{1}-optimal disturbance rejection for disease spread over time-varying networks,” in SWARM 2015: The First International Symposium on Swarm Behavior and Bio-Inspired Robotics, 2015, pp. 377-378. |
[15] | C. Nowzari, M. Ogura, V. M. Preciado, and G. J. Pappas, “Optimal resource allocation for containing epidemics on time-varying networks,” in 49th Asilomar Conference on Signals, Systems and Computers, 2015, pp. 1333-1337. [ DOI | http ] |
[14] | M. Ogura, A. Cetinkaya, and V. M. Preciado, “State-feedback stabilization of Markov jump linear systems with randomly observed markov states,” in 2015 American Control Conference, 2015, pp. 1764-1769. [ DOI | arXiv | http ] |
[13] | M. Ogura and V. M. Preciado, “Disease spread over randomly switched large-scale networks,” in 2015 American Control Conference, 2015, pp. 1782-1787. [ DOI | arXiv | http ] |
[12] | M. Ogura and R. M. Jungers, “Efficiently computable lower bounds for the p-radius of switching linear systems,” in 53rd IEEE Conference on Decision and Control, 2014, pp. 5463-5468. [ DOI | http ] |
[11] | M. Ogura and C. F. Martin, “Mean stability of continuous-time semi-Markov jump linear positive systems,” in 2014 American Control Conference, 2014, pp. 3261-3266. [ DOI | http ] |
[10] | M. Ogura and C. F. Martin, “On the mean stability of a class of switched linear systems,” in 52nd IEEE Conference on Decision and Control, 2013, pp. 97-102. [ arXiv | http ] |
[9] | M. Ogura and C. F. Martin, “Stability of switching systems and generalized joint spectral radius,” in 2013 European Control Conference, 2013, pp. 3185-3190. [ DOI | http ] |
[8] | M. Ogura and C. F. Martin, “Stochastic properties of switched Riccati differential equations,” in 51st IEEE Conference on Decision and Control, 2012, pp. 1319-1324. [ DOI | http ] |
[7] | M. Ogura, Y. Yamamoto, and J. C. Willems, “On the dissipativity of pseudorational behaviors,” in 49th IEEE Conference on Decision and Control, 2010, pp. 1737-1742. [ DOI | http ] |
[6] | Y. Yamamoto, J. C. Willems, and M. Ogura, “Pseudorational behaviors and Bezoutians,” in 19th International Symposium on Mathematical Theory of Networks and Systems, 2010, pp. 1917-1921. |
[5] | M. Ogura and Y. Yamamoto, “Dissipativity of pseudorational behaviors,” in 19th International Symposium on Mathematical Theory of Networks and Systems, 2010, pp. 849-853. |
[4] | M. Ogura and Y. Yamamoto, “Hankel norm computation for pseudorational transfer functions,” in 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, 2009, pp. 5502-5507. [ DOI | http ] |
[3] | M. Nagahara, M. Ogura, and Y. Yamamoto, “A novel approach to repetitive control via sampled-data H^{∞} filters,” in 7th Asian Control Conference, 2009, pp. 160-165. [ http ] |
[2] | M. Nagahara, M. Ogura, and Y. Yamamoto, “Interpolation of nonuniformly decimated signals via sampled-data H^{∞} optimization,” in SICE Annual Conference 2008, 2008, pp. 1151-1154. [ DOI | http ] |
[1] | M. Ogura, M. Nagahara, and Y. Yamamoto, “Optimal wavelet expansion via sampled-data H^{∞} control theory,” in SICE Annual Conference 2007, 2007, pp. 1422-1426. [ DOI | http ] |
[3] | M. Ogura, “Mean Stability of Switched Linear Systems,” Ph.D. dissertation, Texas Tech University, 2014. [ DOI | http ] |
[2] | M. Ogura, “Hankel Norm Computation for Pseudorational Transfer Functions (in Japanese),” Master's thesis, Kyoto University, 2009. |
[1] | M. Ogura, “Optimal Wavelet Expansion via H^{∞} Sampled-Data Optimal Control Theory (in Japanese),” Bachelor report, Kyoto University, 2007. |