R. Anguluri and V. Katewa and S. Roy and F. Pasqualetti, Network Theoretic Analysis of Maximum a Posteriori Detectors for Sensor Analysis and Design. Automatica, 2020. Submitted.
F. Pasqualetti and S. Zhao and C. Favaretto and S. Zampieri, Fragility Limits Performance in Complex Networks. Scientific Reports, 2020. To appear.
T. Menara and G. Baggio and D. S. Bassett and F. Pasqualetti, Conditions for Feedback Linearization of Network Systems. IEEE Control Systems Letters, 2020. Submitted.
G. Baggio and D. S. Bassett and F. Pasqualetti, Data-Driven Control of Complex Networks. , 2020. In preparation.
J. K. Brynildsen and K. D. Mace and E. J. Cornblath and C. Weidler and F. Pasqualetti and D. S. Bassett and J. A. Blendy, Transitions in brain state following opiate exposure are defined by functional network connectivity and predicted by correlated gene expression. Nature Neuroscience, 2020. Submitted.
R. Anguluri and A. A. A. Makdah and V. Katewa and F. Pasqualetti, On the Robustness of Data-Driven Controllers for Linear Systems. Learning for Dynamics & Control, San Francisco, CA, USA, June 2020. [PDF]
A. A. A. Makdah and V. Katewa and F. Pasqualetti, Accuracy Prevents Robustness in Perception-based Control. American Control Conference, Denver, CO, USA, July 2020. [PDF]
G. Baggio and F. Pasqualetti, Learning Minimum-Energy Controls from Heterogeneous Data. American Control Conference, Denver, CO, USA, July 2020.
Fabio Pasqualetti - University of California at