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Ziming Zhang, Yuting Chen, Venkatesh Saligrama.  2014.  A Novel Visual Word Co-occurrence Model for Person Re-identification. Computer Vision - {ECCV} 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part {III}. 8927:122–133.
N.Marchang, R.Datta, S.K.Das.  2017.  A Novel Approach for Efficient Usage of Intrusion Detection System in Mobile Ad Hoc Networks. IEEE Transactions on Vehicular Technology. 66:1684–1695.
R. Goebel, R. G. Sanfelice.  2016.  Notions and Sufficient Conditions for Pointwise Asymptotic Stability in Hybrid Systems. Proceedings of 10th IFAC Symposium on Nonlinear Control Systems. :140–145.
J. Chai, R.G. Sanfelice.  2015.  On Notions and Sufficient Conditions for Forward Invariance of Sets for Hybrid Dynamical Systems. Proceedings of the 54th IEEE Conference on Decision and Control. :2869-2874.
M. Rungger, P. Tabuada.  2015.  A Notion of Robustness for Cyber-Physical Systems. IEEE Transactions on Automatic Control. PP:1-1.
Rungger, Matthias, Tabuada, Paulo.  2016.  A notion of robustness for cyber-physical systems. IEEE Transactions on Automatic Control. 61:2108–2123.
P. Glotfelter, J. Cortes, M. Egerstedt.  2017.  Nonsmooth Barrier Functions with Applications to Multi-Robot Systems. {IEEE} Control Systems Letters.

Accepted for publication

P. Glotfelter, J. Cortes, M. Egerstedt.  2017.  Nonsmooth Barrier Functions. 1:310-315.

As multi-agent systems become ubiquitous, guaranteeing safety in these systems grows increasingly important. In applications ranging from automated cruise control to safety in robot swarms, barrier functions have emerged as a tool to provably meet safety constraints by guaranteeing forward invariance of a set. However, a single barrier function can rarely satisfy all safety aspects of a system, so there remains a need to address the degree to which multiple barrier functions may be composed through Boolean logic. Utilizing max and min operators represents one such method to accomplish Boolean composition for barrier functions. As such, the main contribution of this work extends previously established concepts for barrier functions to a class of nonsmooth barrier functions that operate on systems described by differential inclusions. To validate these results, a Boolean compositional barrier function is deployed onto a team of mobile robots.

Maria Castano, Xiaobo Tan.  2016.  Nonlinear model predictive control of a tail-actuated robotic fish. Proceedings of the ASME 2016 Dynamic Systems and Control Conference. :DSCC2016-9918.
Chun Lam Chan, Pak Hou Che, Sidharth Jaggi, Venkatesh Saligrama.  2011.  Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms. 49th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2011, Allerton Park {&} Retreat Center, Monticello, IL, USA, 28-30 September, 2011. :1832–1839.
Abhinav Ganesan, Sidharth Jaggi, Venkatesh Saligrama.  2015.  Non-adaptive group testing with inhibitors. 2015 {IEEE} Information Theory Workshop, {ITW} 2015, Jerusalem, Israel, April 26 - May 1, 2015. :1–5.
Chun Lam Chan, Sidharth Jaggi, Venkatesh Saligrama, Samar Agnihotri.  2012.  Non-adaptive group testing: Explicit bounds and novel algorithms. Proceedings of the 2012 {IEEE} International Symposium on Information Theory, {ISIT} 2012, Cambridge, MA, USA, July 1-6, 2012. :1837–1841.
Manqi Zhao, Venkatesh Saligrama.  2010.  Noisy filtered sparse processes: Reconstruction and compression. Proceedings of the 49th {IEEE} Conference on Decision and Control, {CDC} 2010, December 15-17, 2010, Atlanta, Georgia, {USA}. :2930–2935.
B. Zheng, H. Liang, Q. Zhu, H. Yu, C. W. Lin.  2016.  Next Generation Automotive Architecture Modeling and Exploration for Autonomous Driving. 2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI). :53-58.