Neil K. Dhingra – Publications

Journal Papers


  1. N. K. Dhingra, S. Z. Khong, and M. R. Jovanovic. A second order primal-dual method for nonsmooth convex composite optimization. IEEE Trans. Automat. Control, 2022. Note: Doi:10.1109/TAC.2021.3115449; also arXiv:1709.01610. [PDF]


  2. A. Zare, H. Mohammadi, N. K. Dhingra, T. T. Georgiou, and M. R. Jovanovic. Proximal algorithms for large-scale statistical modeling and sensor/actuator selection. IEEE Trans. Automat. Control, 65(8):3441-3456, August 2020. [PDF]


  3. N. K. Dhingra, M. Colombino, and M. R. Jovanovic. Structured decentralized control of positive systems with applications to combination drug therapy and leader selection in directed networks. IEEE Trans. Control Netw. Syst., 6(1):352-362, March 2019. [PDF]


  4. N. K. Dhingra, S. Z. Khong, and M. R. Jovanovic. The proximal augmented Lagrangian method for nonsmooth composite optimization. IEEE Trans. Automat. Control, 64(7):2861-2868, July 2019. [PDF]


  5. M. R. Jovanovic and N. K. Dhingra. Controller architectures: tradeoffs between performance and structure. Eur. J. Control, 30:76-91, 2016. [PDF]


Conference Papers


  1. Jeremy Muesing, Neil Dhingra, and Kenneth Center. Tradeoff Analysis of Space-Based Imaging Algorithms for Distributed Area Collection. In Proceedings of the 2024 IEEE Aerospace Conference, Big Sky, MT, 2024. Note: To appear.


  2. Neil K Dhingra, Cameron DeJac, Josh Neel, Alex Herz, Trevor Wolf, and Brandon Jones. Space Domain Awareness Sensor Scheduling with Optimality Certificates. In Proceedings of the 2023 Advanced Maui Optical and Space Surveillance Technologies Conference, Wailea, HI, 2023.


  3. Neil K Dhingra, Cameron DeJac, Josh Neel, Alex Herz, Trevor Wolf, and Brandon Jones. The Impact of Orbit Accuracy-Based Tasking on Sensor Network Efficiency. In Proceedings of the 2022 Advanced Maui Optical and Space Surveillance Technologies Conference, Wailea, HI, 2022.


  4. Ella Herz Cameron DeJac, Trevor Wolf, Josh Neel, Brandon Jones, Neil Dhingra, Alex Herz. Efficient Sensor Tasking for Space Situational/Domain Awareness. In Proceedings of the 73rd International Astronautical Congress (IAC), Paris, France, pages IAC-22,A6,IP,x70583, 2022.


  5. Ella Herz Kim Callis, Merle Ferguson, Nikita Gokhale, Neil Dhingra. Master Activity Planning for Landsat 8 and 9. In Proceedings of the 73rd International Astronautical Congress (IAC), Paris, France, pages IAC-22,B6,IP,x72873, 2022.


  6. Ella Herz Kimberly Callis, Nikita Gokhale, Merle Ferguson, Talia Mallo, Neil Dhingra. The Image Data Schedule Report for Explainable Automated Mission Planning and Scheduling for Landsat 8/9. In Proceedings of the 12th International Workshop on Planning & Scheduling for Space, Virtual, 2021.


  7. Ken Center, Ella Herz, Evan Sneath, Sam Gagnard, Robert Glissmann, Rey Juarez, and Neil Dhingra. Autonomous Planning System (APS) for an Onboard TCPED Pipeline. In Proceedings of the Small Satellite Conference, Logan, UT, pages SSC21-I-02, 2021.


  8. NK Dhingra, C DeJac, A Herz, T Wolf, and B Jones. Maximizing the Utility of Non-Traditional Sensor Network Data for SDA. In Proceedings of the 2021 Advanced Maui Optical and Space Surveillance Technologies Conference, Wailea, HI, 2021.


  9. Evan Sneath Neil Dhingra, Kenneth Center, Ella Herz and Sam Gagnard. APS: Multi-Domain Decentralized Planning for Responsive Multi-Asset Collaborative Autonomy. In Proceedings of the 2021 SpaceOps Conference, Cape Town, South Africa, pages SpaceOps-2021,6,x1634, 2021.


  10. N. K. Dhingra, C. DeJac, A. Herz, T. Wolf, and B. Jones. Maximizing the Utility of Non-Traditional Sensor Network Data for SDA. In Proceedings of the 2021 Advanced Maui Optical and Space Surveillance Technologies Conference, Wailea, HI, 2021.


  11. N.K. Dhingra, K. Center, E. Herz, E. Sneath, and S. Gagnard. APS: Multi-Domain Decentralized Planning for Responsive Multi-Asset Collaborative Autonomy. In Proceedings of the 16th International Conference on Space Operations, Cape Town, South Africa, 2021. Note: SpaceOps-2021,6,x,1634.


  12. J. Aristoff, N. K. Dhingra, A. Ferris, A. Hariri, J. Horwood, A. Larson, T. Lyons, J. Shaddix, N. Singh, and K. Wilson. Non-Traditional Data Collection and Exploitation for Improved GEO SSA via a Global Network of Heterogeneous Sensors. In Proceedings of the 2018 Advanced Maui Optical and Space Surveillance Technologies Conference, Wailea, HI, 2018. [PDF]


  13. D. Ding, B. Hu, N. K. Dhingra, and M. R. Jovanovic. An exponentially convergent primal-dual algorithm for nonsmooth composite minimization. In Proceedings of the 57th IEEE Conference on Decision and Control, Miami, FL, pages 4927-4932, 2018. [PDF]


  14. A. Zare, N. K. Dhingra, M. R. Jovanovic, and T. T. Georgiou. Structured covariance completion via proximal algorithms. In Proceedings of the 56th IEEE Conference on Decision and Control, Melbourne, Australia, pages 3775-3780, 2017. [PDF]


  15. N. K. Dhingra, S. Z. Khong, and M. R. Jovanovic. A second order primal-dual algorithm for non-smooth convex composite optimization. In Proceedings of the 56th IEEE Conference on Decision and Control, Melbourne, Australia, pages 2868-2873, 2017. [PDF]


  16. N. K. Dhingra, M. Colombino, and M. R. Jovanovic. Leader selection in directed networks. In Proceedings of the 55th IEEE Conference on Decision and Control, Las Vegas, NV, pages 2715-2720, 2016. [PDF]


  17. M. Colombino, N. K. Dhingra, M. R. Jovanovic, and Roy S. Smith. Convex Reformulation of a Robust Optimal Control Problem for a Class of Positive Systems. In Proceedings of the 55th IEEE Conference on Decision and Control, Las Vegas, NV, pages 5263-5268, 2016. [PDF]


  18. S. Hassan-Moghaddam, N. K. Dhingra, and M. R. Jovanovic. Topology identification of undirected consensus networks via sparse inverse covariance estimation. In Proceedings of the 55th IEEE Conference on Decision and Control, Las Vegas, NV, pages 4624-4629, 2016. [PDF]


  19. N. K. Dhingra, X. Wu, and M. R. Jovanovic. Sparsity-promoting optimal control of systems with invariances and symmetries. In Proceedings of the 10th IFAC Symposium on Nonlinear Control Systems, Monterey, CA, pages 648-653, 2016. [PDF]


  20. M. Colombino, N.K. Dhingra, M.R. Jovanovic, A. Rantzer, and R.S. Smith. On the optimal control problem for a class of monotone bilinear systems. In Proceedings of the 22nd International Symposium on Mathematical Theory of Networks and Systems, Minneapolis, MN, pages 411-413, 2016. [PDF]


  21. N. K. Dhingra, M. Colombino, and M. R. Jovanovic. On the convexity of a class of structured optimal control problems for positive systems. In Proceedings of the 2016 European Control Conference, Aalborg, Denmark, pages 825-830, 2016. [PDF]


  22. N. K. Dhingra and M. R. Jovanovic. A method of multipliers algorithm for sparsity-promoting optimal control. In Proceedings of the 2016 American Control Conference, Boston, MA, pages 1942-1947, 2016. [PDF]


  23. N. K. Dhingra and M. R. Jovanovic. Convex synthesis of symmetric modifications to linear systems. In Proceedings of the 2015 American Control Conference, Chicago, IL, 2015. [PDF]


  24. N. K. Dhingra, M. R. Jovanovic, and Z. Q. Luo. Optimal sensor and actuator selection for large-scale dynamical systems. In Proceedings of the 49th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 2015.


  25. N. K. Dhingra, M. R. Jovanovic, and Z. Q. Luo. An ADMM algorithm for optimal sensor and actuator selection. In Proceedings of the 53rd IEEE Conference on Decision and Control, Los Angeles, CA, pages 4039-4044, 2014. [PDF]


  26. D. M. Zoltowski, N. K. Dhingra, F. Lin, and M. R. Jovanovic. Sparsity-promoting optimal control of spatially-invariant systems. In Proceedings of the 2014 American Control Conference, Portland, OR, pages 1261-1266, 2014. [PDF]


  27. N. K. Dhingra, F. Lin, M. Fardad, and M. R. Jovanovic. On identifying sparse representations of consensus networks. In Preprints of the 3rd IFAC Workshop on Distributed Estimation and Control in Networked Systems, Santa Barbara, CA, pages 305-310, 2012. [PDF]


  28. M. Scholten, N.K. Dhingra, T.T. Lu, and T. H. Chao. Optimization of support vector machine (SVM) for object classification. In Proceedings of SPIE, volume 8398, pages 839806-839806-9, 2012.





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Last modified: Fri Apr 19 13:23:44 2024
Author: ndhingra.


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