[1]

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 (accepted), 2018.
[ arXiv ]

[2]

M. Ogura, J. Tagawa, and N. Masuda, “Distributed agreement on activity driven
networks,” in 2018 American Control Conference (accepted), 2018.
[ arXiv ]

[3]

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. 24482454.
[ DOI 
http ]

[4]

M. Ogura and V. M. Preciado, “Katz centrality of Markovian temporal networks:
analysis and optimization,” in 2017 American Control Conference,
2017, pp. 50015006.
[ DOI 
arXiv ]

[5]

M. Wakaiki, M. Ogura, and J. P. Hespanha, “Linear quadratic control for
sampleddata systems with stochastic delays,” in 2017 American
Control Conference, 2017, pp. 19781983.
[ DOI 
http ]

[6]

M. Ogura, M. Wakaiki, and V. M. Preciado, “Dynamic analysis of bethedging
strategies as a protection mechanism against environmental fluctuations,”
in 55th IEEE Conference on Decision and Control, 2016, pp. 41784183.
[ DOI 
arXiv ]

[7]

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. 967972.
[ DOI 
arXiv ]

[8]

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. 59625967.
[ DOI 
http ]

[9]

V. M. Preciado and M. Ogura, “Structural analysis of spreading processes from
egonets,” in 6th IFAC Workshop on Distributed Estimation and Control
in Networked Systems, 2016, pp. 345350.
[ DOI 
http ]

[10]

M. Ogura, A. Cetinkaya, T. Hayakawa, and V. M. Preciado, “Efficient criteria
for stability of largescale networked control systems,” in 6th IFAC
Workshop on Distributed Estimation and Control in Networked Systems, 2016,
pp. 1318.
[ DOI 
http ]

[11]

M. Ogura, M. Wakaiki, J. P. Hespanha, and V. M. Preciado, “L^{2}gain
analysis of regenerative switched linear systems under sampleddata
statefeedback control,” in 2016 American Control Conference, 2016,
pp. 709714.
[ DOI 
http ]

[12]

M. Ogura and V. M. Preciado, “Optimal design of networks of positive linear
systems under stochastic uncertainty,” in 2016 American Control
Conference, 2016, pp. 29302935.
[ DOI 
arXiv 
http ]

[13]

M. Ogura and V. M. Preciado, “Costoptimal switching protection strategy in
adaptive networks,” in 54th IEEE Conference on Decision and Control,
2015, pp. 35743579.
[ DOI 
arXiv 
http ]

[14]

M. Ogura and V. M. Preciado, “Spreading processes over sociotechnical
networks with phasetype transmissions,” in 54th IEEE Conference on
Decision and Control, 2015, pp. 35483553.
[ DOI 
arXiv 
http ]

[15]

C. Nowzari, M. Ogura, V. M. Preciado, and G. J. Pappas, “A general class of
spreading processes with nonMarkovian dynamics,” in 54th IEEE
Conference on Decision and Control, 2015, pp. 50735078.
[ DOI 
arXiv 
http ]

[16]

C. Nowzari, M. Ogura, V. M. Preciado, and G. J. Pappas, “Optimal resource
allocation for containing epidemics on timevarying networks,” in
49th Asilomar Conference on Signals, Systems and Computers, 2015, pp.
13331337.
[ DOI 
http ]

[17]

M. Ogura, M. Nagahara, and V. M. Preciado, “L^{1}optimal disturbance
rejection for disease spread over timevarying networks,” in SWARM
2015: The First International Symposium on Swarm Behavior and BioInspired
Robotics, 2015, pp. 377378.

[18]

M. Ogura, A. Cetinkaya, and V. M. Preciado, “Statefeedback stabilization of
Markov jump linear systems with randomly observed markov states,” in
2015 American Control Conference, 2015, pp. 17641769.
[ DOI 
arXiv 
http ]

[19]

M. Ogura and V. M. Preciado, “Disease spread over randomly switched
largescale networks,” in 2015 American Control Conference, 2015,
pp. 17821787.
[ DOI 
arXiv 
http ]

[20]

M. Ogura and R. M. Jungers, “Efficiently computable lower bounds for the
pradius of switching linear systems,” in 53rd IEEE Conference on
Decision and Control, 2014, pp. 54635468.
[ DOI 
http ]

[21]

M. Ogura and C. F. Martin, “Mean stability of continuoustime semiMarkov
jump linear positive systems,” in 2014 American Control Conference,
2014, pp. 32613266.
[ DOI 
http ]

[22]

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. 97102.
[ arXiv 
http ]

[23]

M. Ogura and C. F. Martin, “Stability of switching systems and generalized
joint spectral radius,” in 2013 European Control Conference, 2013,
pp. 31853190.
[ http ]

[24]

M. Ogura and C. F. Martin, “Stochastic properties of switched Riccati
differential equations,” in 51st IEEE Conference on Decision and
Control, 2012, pp. 13191324.
[ DOI 
http ]

[25]

M. Ogura, Y. Yamamoto, and J. C. Willems, “On the dissipativity of
pseudorational behaviors,” in 49th IEEE Conference on Decision and
Control, 2010, pp. 17371742.
[ DOI 
http ]

[26]

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. 19171921.

[27]

M. Ogura and Y. Yamamoto, “Dissipativity of pseudorational behaviors,” in
19th International Symposium on Mathematical Theory of Networks and
Systems, 2010, pp. 849853.

[28]

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.
55025507.
[ DOI 
http ]

[29]

M. Nagahara, M. Ogura, and Y. Yamamoto, “A novel approach to repetitive
control via sampleddata H^{∞} filters,” in 7th Asian Control
Conference, 2009, pp. 160165.
[ http ]

[30]

M. Nagahara, M. Ogura, and Y. Yamamoto, “Interpolation of nonuniformly
decimated signals via sampleddata H^{∞} optimization,” in SICE
Annual Conference 2008, 2008, pp. 11511154.
[ DOI 
http ]

[31]

M. Ogura, M. Nagahara, and Y. Yamamoto, “Optimal wavelet expansion via
sampleddata H^{∞} control theory,” in SICE Annual Conference
2007, 2007, pp. 14221426.
[ DOI 
http ]
