###### Selected recent publications:

###### Future Directions in Systems and Control:

F. Lamnabhi-Lagarrigue, A. Annaswamy, S. Engell, A. Isaksson, P. Khargonekar, R. Murray, H. Nijmeijer, T. Samad, D. Tilbury, and P. Van den Hof, “Systems & Control for the Future of Humanity; Research agenda: Current and Future Roles, Impact and Grand Challenges,” *Annual Reviews in Control,* pp. 1-64, 2017.

###### Renewable Energy and Smart Grids:

R. Khatami, M. Parvania, P. P. Khargonekar, “Scheduling and Pricing of Energy Generation and Storage in Power Systems,” accepted for publication in *IEEE Transactions on Power Systems. *

P. Chakaraborty, E. Baeyens, and P. P. Khargonekar, “Distributed Control of Flexible Demand using Proportional Allocation Mechanism in a Smart Grid: Game Theoretic Interaction and Price of Anarchy,” *Sustainable Energy, Grids and Networks,* vol. 12, pp. 30-39, December 2017.

A. Bretas, N. G. Bretas, B. Carvalho, E. Baeyens, and P. P. Khargonekar, “Smart Grids Cyber-Physical Security as a Malicious Data Attack: An Innovation Approach,” *Electric Power Systems Research, *2017*.*

P. Chakaraborty, E. Baeyens, and P. P. Khargonekar, “Cost Causation Based Allocation of Costs for Market Integration of Renewable Energy,” *IEEE Transactions on Power Systems,* 2017.

P. Chakraborty, E. Baeyens, P. P. Khargonekar, and K. Poolla, “A Cooperative Game for the Realized Profit of an Aggregation of Renewable Energy Producers,” *Proc. 2016 IEEE Conference on Decision and Control, pp. 5805-5812, *December 2016.

P. Chakraborty and P. P. Khargonekar, “A Demand Response Game and its Robust Price of Anarchy,” *Proc. 2014 IEEE SmartGridComm, *pp. 644-649, November 2014.

K. G. Nagananda and P. P. Khargonekar, “An Approximately Optimal Algorithm for Scheduling Phasor Data Transmissions in Smart Grid Networks,” *IEEE Transactions on Smart Grid,* 2017.

A. Ranjan, P. P. Khargonekar and S. Sahni, “Smart Grid Power Scheduling Via Bottom Left Decreasing Height Packing,” *IEEE Symposium of Computers and Communications,* pp. 1128-1133, 2016.

A. Ranjan, P. P. Khargonekar and S. Sahni, “Offline First Fit Decreasing Height Scheduling of Power Loads”, *Journal of Scheduling,* vol. 20, pp. 527-542, October 2017.

A. Ranjan, P. P. Khargonekar, and S. Sahni, “Offline Preemptive Scheduling of Power Demands to Minimize Peak Power in Smart Grids,” *Proc. 19*^{th} IEEE Symposium of Computers and Communications, Madeira, PORTUGAL, June 2014.

###### Adversarial Systems and Control:

Z. Fuchs and P. P. Khargonekar, “Generalized Engage or Retreat Differential Game with Escort Regions” *IEEE Transactions on Automatic Control*, pp. 668-681, 2017.

M. Park, K. Kalyanam, S. Darbha, P. P. Khargonekar, P. R. Chandler, and M. Pachter, “Performance Guarantee of an Approximate Dynamic Programming Policy for Robotic Surveillance,” *IEEE Transactions on Automation Science and Engineering,* 2016.

S. Rathinam and P. P. Khargonekar, “An Approximation Algorithm for the Shortest Path Dubins Problem,” Proc. ASME Dynamic Systems and Control Conference, 2016.

K. Kalyanam, S. Darbha, P. P. Khargonekar, M. Pachter, and P. Chandler, “Optimal Cooperative Pursuit on a Manhattan Grid,” *Proc. 2013 AIAA Conference on Guidance, Navigation, and Control,* 2013.

K. Kalyanam, S. Darbha, P. P. Khargonekar, D. Casbeer, M. Pachter, and P. Chandler, “Optimal Minimax Pursuit Evasion on a Manhattan Grid,” *Proc. American Control Conference,* 2013.

###### Flight Control and Deep Learning:

S. Nivison and P. P. Khargonekar, “A Sparse Neural Network Approach to Model Reference Adaptive Control with Hypersonic Flight Applications,” Proc. 2018 AIAA Guidance, Navigation, and Control Conference, 2018.

S. Nivison and P. P. Khargonekar, “Improving Long-Term Learning of Model Reference Adaptive Controllers for Flight Applications: A Sparse Neural Network Approach,” Proc. 2017 AIAA Guidance, Navigation, and Control Conference, 2017.

S. Nivison and P. P. Khargonekar, “Development of a Robust Deep Recurrent Neural Network Controller for Flight Control Applications,” Proceedings American Control Conference, pp. 5336-5342, June 2017.

###### Neural Systems Modeling and Control:

S. Ratnadurai-Giridharan, P. P. Khargonekar, S. Talathi, “Emergent Gamma Synchrony in All-to-all Interneuronal Networks,” *Frontiers in Computational Neuroscience,* 2015.

M. Nandan, P. P. Khargonekar, and S. Talathi, “Fast SVM Training and Classification Using Approximate Extreme Points,” *Journal of Machine Learning Research, *vol. 15, pp. 59-98, 2014.

R. G. Shivakeshavan, R. A. Stefanescu, P. P. Khargonekar, P. R. Carney, and S. S. Talathi, “Genesis of Interictal Spikes in the CA1: A Computational Investigation,” *Frontiers in Neural Circuits,* 2014.

R. A. Stefanescu, R. G. Shivakeshavan, P. P. Khargonekar and S. S. Talathi, “Computational Modeling of Channelrhodopsin-2 Photocurrent Characteristics in Relation to Neural Signaling,” *Bulletin of Mathematical Biology*, vol. 75, pp. 2208-2240, 2013.

E. Boykin, P. P. Khargonekar, P. R. Carney, W. Ogle, and S. S. Talathi, “Detecting effective connectivity in networks of coupled neuronal oscillators,” *Journal of Computational Neuroscience, *DOI 10.1007/s10827-011-0367-3, vol. 32, pp. 521-538, 2012.

###### In Memory of Professor R. E. Kalman:

A. Antoulas, T. T Georgiou, P. P Khargonekar, A. B. Özgüler, E. D Sontag, Y. Yamamoto, “Obituary for Professor Rudolf Emil Kalman,” *Automatica,* vol. 76, pp. 370-371, 2016.

A. Antoulas, T. T. Georgiou, P. P Khargonekar, A. B. Ozguler, E. D. Sontag, and Y. Yamamoto, “Prof. Rudolf Emil Kalman [Obituary],” *IEEE Control Systems Magazine,* pp. 151-152, 2017.

A. Antoulas, T. T. Georgiou, P. P Khargonekar, A. B. Ozguler, E. D. Sontag, and Y. Yamamoto, “A Tribute to Rudolf Kalman: His Research, Life, and Influence,” *IEEE Control Systems Magazine,* p. 153, 2017.

P. P. Khargonekar, “Prof. R.E. Kalman-A Personal Tribute: My Debt to an Intellectual Giant,” *IEEE Control Systems Magazine,* pp. 171-172, 2017.

###### Essays

P. P. Khargonekar, Foreword to the book entitled *Cyber-Physical-Social Systems and Constructs in Electric Power Engineering,* Siddharth Suryanarayanan, Robin Roche and Timothy M. Hansen (Eds)