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1768 Publications


2015 | Conference Paper | LibreCat-ID: 41917
U. Ali, G. Fischer, and A. Thiede, “Low power fundamental VCO design in D-band using 0.13 µm SiGe BiCMOS technology,” 2015, doi: 10.1109/gemic.2015.7107827.
LibreCat | DOI
 

2015 | Dissertation | LibreCat-ID: 42001
C. J. Rüsing, Optimierung der monotonen und zyklischen Eigenschaften von hoch manganhaltigen TWIP-Stählen – Einfluss von Temperatur und Vorverformung auf die Mikrostrukturentwicklung. Paderborn, 2015.
LibreCat | DOI
 

2015 | Journal Article | LibreCat-ID: 42080
E. Henriksson, D. E. Quevedo, E. G. W. Peters, H. Sandberg, and K. H. Johansson, “Multiple Loop Self-Triggered Model Predictive Control for Network Scheduling and Control,” CDC, vol. 23, no. 6, pp. 2167–2181, 2015.
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2015 | Conference Paper | LibreCat-ID: 42082
M. Lješnjanin, D. Nešić, and D. E. Quevedo, “Uniform Global Asymptotic Stability of Networked Control Systems Affected with Packet Dropouts and Scheduling Issues,” 2015.
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2015 | Conference Paper | LibreCat-ID: 42084
Y. Li, D. E. Quevedo, S. Dey, and L. Shi, “Fake-Acknowledgment Attack on ACK-Based Sensor Power Schedule for Remote State Estimation,” 2015.
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2015 | Conference Paper | LibreCat-ID: 42081
E. G. W. Peters, D. E. Quevedo, and M. Fu, “Co-design for Control and Scheduling over Wireless Industrial Control Networks,” 2015.
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2015 | Conference Paper | LibreCat-ID: 42083
K. Q. Huang, T. V. Dang, K. V. Ling, and D. E. Quevedo, “Event-triggered Anytime Control with Two Controllers,” 2015.
LibreCat
 

2015 | Journal Article | LibreCat-ID: 42079
Y. Li, L. Shi, P. Cheng, J. Chen, and D. E. Quevedo, “Jamming Attacks on Remote State Estimation in Cyber-Physical Systems: A Game-Theoretic Approach,” TAC, vol. 60, no. 10, pp. 2831–2836, 2015.
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2015 | Journal Article | LibreCat-ID: 42078
S. Knorn, S. Dey, A. Ahlén, and D. E. Quevedo, “Distortion Minimization in Multi-Sensor Estimation Using Energy Harvesting and Energy Sharing,” TSP, vol. 63, no. 11, pp. 2848–2863, 2015.
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2015 | Journal Article | LibreCat-ID: 42077
J. Wu, Y. Li, D. E. Quevedo, V. Lau, and L. Shi, “Data-driven power control for state estimation: A Bayesian inference approach,” AUTO, vol. 54, no. 4, pp. 332–339, 2015.
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