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[52]
|
R. Liu, M. Ogura, E. F. Dos Reis, and N. Masuda, “Effects of concurrency on
epidemic spreading in Markovian temporal networks,” European Journal
of Applied Mathematics, vol. 35, no. 3, pp. 430-461, 2024.
[ DOI |
arXiv |
http ]
|
|
[51]
|
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 ]
|
|
[50]
|
W. Imahayashi, Y. Tsunoda, and M. Ogura, “Route design in sheepdog
system–traveling salesman problem formulation and evolutionary computation
solution–,” Advanced Robotics, vol. 38, no. 9-10, pp. 632-646,
2024.
[ DOI |
arXiv |
http ]
|
|
[49]
|
A. Li, M. Ogura, and N. Wakamiya, “Swarm shepherding using bearing-only
measurements,” Philosophical Transactions of the Royal Society A
(accepted for publication), 2024.
|
|
[48]
|
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 ]
|
|
[47]
|
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 (accepted for publication), 2024.
[ DOI ]
|
|
[46]
|
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 ]
|
|
[45]
|
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 ]
|
|
[44]
|
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 ]
|
|
[43]
|
C. Zhao, B. Zhu, M. Ogura, and J. Lam, “Parameterized synthesis of
discrete-time positive linear systems: A geometric programming
perspective,” IEEE Control Systems Letters, vol. 7, pp. 2551-2556,
2023.
[ DOI |
http ]
|
|
[42]
|
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 ]
|
|
[41]
|
M. Ogura and C. Nowzari, “Special issue: modeling, analysis, and control of
epidemics in networks,” Mathematical Biosciences and Engineering,
vol. 20, no. 5, pp. 8446-8447, 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, pp. 399-410, 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 H2/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]
|
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 ]
|
|
[22]
|
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 ]
|
|
[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, 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 ]
|
|
[13]
|
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 ]
|
|
[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 ]
|
|
[63]
|
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 (accepted), 2024.
|
|
[62]
|
J. Aizawa, M. Ogura, M. Shimono, and N. Wakamiya, “Manipulation of neuronal
network firing patterns using temporal deep unfolding-based MPC,” in
2023 Asia-Pacific Signal and Information Processing Association Annual
Summit and Conference, 2023, pp. 15-21.
[ DOI |
arXiv |
http ]
|
|
[61]
|
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, 2023, pp. 30-33.
[ DOI |
http ]
|
|
[60]
|
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, 2023, pp.
5218-5223.
[ DOI |
arXiv |
http ]
|
|
[59]
|
M. Ogura and V. M. Preciado, “Asynchronous temporal interactions promote
disparity in networks,” in 2023 International Symposium on Nonlinear
Theory and its Applications, 2023, p. 25.
[ DOI |
http ]
|
|
[58]
|
C. Zhao, X. Gong, Y. Ebihara, and M. Ogura, “Impulse-to-peak optimization of
positive linear systems via DC programming,” in 22nd IFAC World
Congress, 2023, pp. 5544-5549.
[ DOI |
http ]
|
|
[57]
|
A. Fujioka, M. Ogura, and N. Wakamiya, “Shepherding heterogeneous flocks:
overview and prospect,” in 22nd IFAC World Congress, 2023, pp.
11523-11526.
[ arXiv ]
|
|
[56]
|
Y. Deng, A. Li, M. Ogura, and N. Wakamiya, “Collision-free property analysis
for the shepherding swarm,” in SICE Annual Conference 2023, 2023,
pp. 1072-1073.
|
|
[55]
|
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.
|
|
[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. 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 ]
|
|
[51]
|
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.
|
|
[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 |
http ]
|
|
[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 |
http ]
|
|
[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, pp.
79-83.
[ 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]
|
T. Kimura and M. Ogura, “Distributed collaborative 3D-deployment of UAV base
stations for on-demand coverage,” in IEEE International Conference on
Computer Communications 2020, 2020, pp. 1748-1757. Acceptance rate
19.8 percent.
[ DOI |
arXiv |
http ]
|
|
[41]
|
Y. Abe, M. Ogura, H. Tsuji, A. Miura, and S. Adachi, “Resource and network
management for satellite communications systems: a chance-constrained
approach,” in 21st IFAC World Congress, 2020, pp. 3304-3309.
[ DOI |
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, W. Mei, and K. Sugimoto, “Upper-bounding dynamics on networked
synergistic susceptible-infected-susceptible model,” in SICE Annual
Conference 2019, 2019, pp. 1430-1431.
|
|
[37]
|
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 ]
|
|
[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. 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 ]
|
|
[27]
|
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 ]
|
|
[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]
|
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 ]
|
|
[22]
|
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 ]
|
|
[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, “L2-gain
analysis of regenerative switched linear systems under sampled-data
state-feedback control,” in 2016 American Control Conference, 2016,
pp. 709-714.
[ DOI |
http ]
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[19]
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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 ]
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[18]
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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 ]
|
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[17]
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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 ]
|
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[16]
|
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 ]
|
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[15]
|
M. Ogura, M. Nagahara, and V. M. Preciado, “L1-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.
|
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[14]
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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 ]
|
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[13]
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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 ]
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|
[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 ]
|
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[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 ]
|
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[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 ]
|
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[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 ]
|
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[6]
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M. Ogura and Y. Yamamoto, “Dissipativity of pseudorational behaviors,” in
19th International Symposium on Mathematical Theory of Networks and
Systems, 2010, pp. 849-853.
|
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[5]
|
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.
|
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[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 ]
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