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Pramod P. Khargonekar
Person information
- affiliation: University of California, Irvine, USA
- affiliation (former): University of Florida, Gainesville, USA
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2020 – today
- 2025
- [i38]Luke Chen, Junyao Wang, Trier Mortlock, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception. CoRR abs/2503.20011 (2025) - 2024
- [j75]Mariam Rakka
, Mohammed E. Fouda
, Pramod P. Khargonekar
, Fadi J. Kurdahi
:
A Review of State-of-the-art Mixed-Precision Neural Network Frameworks. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7793-7812 (2024) - [i37]Ruijie Du, Deepan Muthirayan, Pramod P. Khargonekar, Yanning Shen:
Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach. CoRR abs/2401.02552 (2024) - 2023
- [j74]Deepan Muthirayan
, Jianjun Yuan, Pramod P. Khargonekar
:
Online Convex Optimization With Long-Term Constraints for Predictable Sequences. IEEE Control. Syst. Lett. 7: 979-984 (2023) - [j73]K. Victor Sam Moses Babu
, Pratyush Chakraborty
, Enrique Baeyens
, Pramod P. Khargonekar
:
Optimal Storage and Solar Capacity of a Residential Household Under Net Metering and Time-of-Use Pricing. IEEE Control. Syst. Lett. 7: 1189-1194 (2023) - [j72]Deepan Muthirayan
, Pramod P. Khargonekar
:
Memory Augmented Neural Network Adaptive Controllers: Performance and Stability. IEEE Trans. Autom. Control. 68(2): 825-838 (2023) - [c62]Deepan Muthirayan, Ruijie Du, Yanning Shen, Pramod P. Khargonekar:
Change Point Detection Approach for Online Control of Unknown Time Varying Dynamical Systems. CDC 2023: 5039-5046 - [c61]Deepan Muthirayan, Pramod P. Khargonekar:
Online Learning for Incentive-Based Demand Response. CDC 2023: 7956-7961 - [c60]Deepan Muthirayan, Chinmay Maheshwari
, Pramod P. Khargonekar, Shankar S. Sastry:
Competing Bandits in Time Varying Matching Markets. L4DC 2023: 1020-1031 - [i36]Majid Majidi, Deepan Muthirayan, Masood Parvania, Pramod P. Khargonekar:
Scalable Grid-Aware Dynamic Matching using Deep Reinforcement Learning. CoRR abs/2301.13796 (2023) - [i35]Deepan Muthirayan, Pramod P. Khargonekar:
Online Learning for Incentive-Based Demand Response. CoRR abs/2303.15617 (2023) - 2022
- [j71]Ye-Ji Son, Se-Heon Lim
, Sung-Guk Yoon
, Pramod P. Khargonekar
:
Residential Demand Response-Based Load-Shifting Scheme to Increase Hosting Capacity in Distribution System. IEEE Access 10: 18544-18556 (2022) - [j70]Arnav Vaibhav Malawade
, Shih-Yuan Yu
, Brandon Hsu
, Deepan Muthirayan
, Pramod P. Khargonekar
, Mohammad Abdullah Al Faruque
:
Spatiotemporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction. IEEE Internet Things J. 9(12): 9379-9388 (2022) - [j69]Anomadarshi Barua
, Deepan Muthirayan
, Pramod P. Khargonekar
, Mohammad Abdullah Al Faruque
:
Hierarchical Temporal Memory-Based One-Pass Learning for Real-Time Anomaly Detection and Simultaneous Data Prediction in Smart Grids. IEEE Trans. Dependable Secur. Comput. 19(3): 1770-1782 (2022) - [j68]Trier Mortlock
, Deepan Muthirayan
, Shih-Yuan Yu
, Pramod P. Khargonekar
, Mohammad Abdullah Al Faruque
:
Graph Learning for Cognitive Digital Twins in Manufacturing Systems. IEEE Trans. Emerg. Top. Comput. 10(1): 34-45 (2022) - [j67]Shih-Yuan Yu
, Arnav Vaibhav Malawade
, Deepan Muthirayan
, Pramod P. Khargonekar
, Mohammad Abdullah Al Faruque
:
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions. IEEE Trans. Intell. Transp. Syst. 23(7): 7941-7951 (2022) - [j66]Deepan Muthirayan
, Pramod P. Khargonekar
:
Online Algorithms for Network Robustness Under Connectivity Constraints. IEEE Trans. Netw. Sci. Eng. 9(4): 2266-2277 (2022) - [c59]Deepan Muthirayan, Jianjun Yuan, Pramod P. Khargonekar:
Adaptive Gradient Online Control. ACC 2022: 2136-2141 - [c58]Deepan Muthirayan, Dileep Kalathil, Pramod P. Khargonekar:
Meta-Learning Online Control for Linear Dynamical Systems. CDC 2022: 1435-1440 - [c57]Majid Majidi, Deepan Muthirayan, Masood Parvania, Pramod P. Khargonekar:
On the Performance of Reinforcement Learning Algorithms for Dynamic Matching of Renewable Energy with Flexible Loads. CDC 2022: 6344-6349 - [c56]Deepan Muthirayan, Jianjun Yuan, Dileep Kalathil, Pramod P. Khargonekar:
Online Learning for Predictive Control with Provable Regret Guarantees. CDC 2022: 6666-6671 - [d1]Brandon Hsu
, Shih-Yuan Yu
, Arnav V. Malawade
, Deepan Muthirayan
, Pramod P. Khargonekar
, Mohammad Abdullah Al Faruque
:
SceneGraph-Risk-Assessment dataset. IEEE DataPort, 2022 - [i34]K. Victor Sam Moses Babu, Pratyush Chakraborty, Enrique Baeyens, Pramod P. Khargonekar:
Optimal Storage and Solar Capacity of a Residential Household under Net Metering and Time-of-Use Pricing Mechanisms. CoRR abs/2207.04635 (2022) - [i33]Mariam Rakka, Mohammed E. Fouda, Pramod P. Khargonekar, Fadi J. Kurdahi
:
Mixed-Precision Neural Networks: A Survey. CoRR abs/2208.06064 (2022) - [i32]Deepan Muthirayan, Dileep M. Kalathil, Pramod P. Khargonekar:
Meta-Learning Online Control for Linear Dynamical Systems. CoRR abs/2208.10259 (2022) - [i31]Deepan Muthirayan, Ruijie Du, Yanning Shen, Pramod P. Khargonekar:
Adaptive Control of Unknown Time Varying Dynamical Systems with Regret Guarantees. CoRR abs/2210.11684 (2022) - [i30]Deepan Muthirayan, Chinmay Maheshwari, Pramod P. Khargonekar, Shankar Sastry:
Competing Bandits in Time Varying Matching Markets. CoRR abs/2210.11692 (2022) - [i29]Deepan Muthirayan, Jianjun Yuan, Pramod P. Khargonekar:
Online Convex Optimization with Long Term Constraints for Predictable Sequences. CoRR abs/2210.16735 (2022) - 2021
- [j65]Deepan Muthirayan
, Masood Parvania
, Pramod P. Khargonekar
:
Online Algorithms for Dynamic Matching Markets in Power Distribution Systems. IEEE Control. Syst. Lett. 5(3): 995-1000 (2021) - [j64]Yiming Lin
, Pramod P. Khargonekar, Sharad Mehrotra, Nalini Venkatasubramanian:
T-Cove: An exposure tracing System based on Cleaning Wi-Fi Events on Organizational Premises. Proc. VLDB Endow. 14(12): 2783-2786 (2021) - [j63]Arnav V. Malawade
, Nathan D. Costa
, Deepan Muthirayan
, Pramod P. Khargonekar
, Mohammad Abdullah Al Faruque
:
Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems. IEEE Trans. Ind. Informatics 17(12): 7980-7990 (2021) - [c55]Mohammad Abdullah Al Faruque, Deepan Muthirayan, Shih-Yuan Yu, Pramod P. Khargonekar:
Cognitive Digital Twin for Manufacturing Systems. DATE 2021: 440-445 - [i28]Arnav V. Malawade, Nathan D. Costa, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems. CoRR abs/2102.11450 (2021) - [i27]Deepan Muthirayan, Jianjun Yuan, Pramod P. Khargonekar:
Adaptive Gradient Online Control. CoRR abs/2103.08753 (2021) - [i26]Majid Majidi, Deepan Muthirayan, Masood Parvania, Pramod P. Khargonekar:
Dynamic Matching Markets in Power Grid: Concepts and Solution using Deep Reinforcement Learning. CoRR abs/2104.05654 (2021) - [i25]Pratyush Muthukumar, Karishma Muthukumar, Deepan Muthirayan, Pramod P. Khargonekar:
Generative Adversarial Imitation Learning for Empathy-based AI. CoRR abs/2105.13328 (2021) - [i24]Deepan Muthirayan, Pramod P. Khargonekar:
Online Algorithms for Network Robustness under Connectivity Constraints. CoRR abs/2106.04037 (2021) - [i23]Deepan Muthirayan, Pramod P. Khargonekar:
Online Learning Robust Control of Nonlinear Dynamical Systems. CoRR abs/2106.04092 (2021) - [i22]Trier Mortlock, Deepan Muthirayan, Shih-Yuan Yu, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Graph Learning for Cognitive Digital Twins in Manufacturing Systems. CoRR abs/2109.08632 (2021) - [i21]Arnav V. Malawade, Shih-Yuan Yu, Brandon Hsu, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction. CoRR abs/2111.06123 (2021) - [i20]Deepan Muthirayan, Jianjun Yuan, Dileep M. Kalathil, Pramod P. Khargonekar:
Online Learning for Receding Horizon Control with Provable Regret Guarantees. CoRR abs/2111.15041 (2021) - [i19]Deepan Muthirayan, Dileep M. Kalathil, Pramod P. Khargonekar:
Online Robust Control of Linear Dynamical Systems with Prediction. CoRR abs/2111.15063 (2021) - 2020
- [j62]Hieu T. Nguyen, Masood Parvania
, Pramod P. Khargonekar
:
Worst-Case Probabilistic Network Outage Identification Under Physical Disturbances. IEEE Control. Syst. Lett. 4(1): 115-120 (2020) - [j61]Nayara Aguiar
, Vijay Gupta
, Pramod P. Khargonekar
:
A Real Options Market-Based Approach to Increase Penetration of Renewables. IEEE Trans. Smart Grid 11(2): 1691-1701 (2020) - [j60]Deepan Muthirayan
, Enrique Baeyens
, Pratyush Chakraborty
, Kameshwar Poolla, Pramod P. Khargonekar
:
A Minimal Incentive-Based Demand Response Program With Self Reported Baseline Mechanism. IEEE Trans. Smart Grid 11(3): 2195-2207 (2020) - [c54]Deepan Muthirayan, Scott A. Nivison, Pramod P. Khargonekar
:
Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers. ACC 2020: 639-646 - [c53]Anomadarshi Barua, Deepan Muthirayan, Pramod P. Khargonekar
, Mohammad Abdullah Al Faruque:
Hierarchical Temporal Memory Based Machine Learning for Real-Time, Unsupervised Anomaly Detection in Smart Grid: WiP Abstract. ICCPS 2020: 188-189 - [c52]Michael August, Christopher Davison, Mamadou H. Diallo, Dhrubajyoti Ghosh, Peeyush Gupta, Christopher Graves, Shanshan Han, Michael Holstrom, Pramod P. Khargonekar
, Megan Kline, Sharad Mehrotra, Shantanu Sharma
, Nalini Venkatasubramanian, Guoxi Wang, Roberto Yus
:
A privacy-enabled platform for COVID-19 applications: poster abstract. SenSys 2020: 745-746 - [i18]Deepan Muthirayan, Masood Parvania, Pramod P. Khargonekar:
Online Algorithms for Dynamic Matching Markets in Power Distribution Systems. CoRR abs/2003.06971 (2020) - [i17]Shih-Yuan Yu, Arnav V. Malawade
, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions. CoRR abs/2009.06435 (2020) - [i16]Deepan Muthirayan, Jianjun Yuan, Pramod P. Khargonekar:
Regret Guarantees for Online Receding Horizon Control. CoRR abs/2010.07269 (2020) - [i15]Deepan Muthirayan, Pramod P. Khargonekar:
Meta-Learning Guarantees for Online Receding Horizon Control. CoRR abs/2010.11327 (2020) - [i14]Deepan Muthirayan, Pramod P. Khargonekar:
Cognitive Preadaptation for Resilient Adaptive Control. CoRR abs/2010.13205 (2020)
2010 – 2019
- 2019
- [j59]Eilyan Bitar, Pramod P. Khargonekar
, Kameshwar Poolla:
On the marginal value of electricity storage. Syst. Control. Lett. 123: 151-159 (2019) - [j58]Pratyush Chakraborty
, Enrique Baeyens
, Pramod P. Khargonekar
, Kameshwar Poolla, Pravin Varaiya
:
Analysis of Solar Energy Aggregation Under Various Billing Mechanisms. IEEE Trans. Smart Grid 10(4): 4175-4187 (2019) - [j57]Pratyush Chakraborty
, Enrique Baeyens
, Kameshwar Poolla, Pramod P. Khargonekar
, Pravin Varaiya
:
Sharing Storage in a Smart Grid: A Coalitional Game Approach. IEEE Trans. Smart Grid 10(4): 4379-4390 (2019) - [c51]Deepan Muthirayan, Pramod P. Khargonekar
:
Working Memory Augmentation for Improved Learning in Neural Adaptive Control. CDC 2019: 6785-6792 - [c50]Roohallah Khatami, Masood Parvania, Pramod P. Khargonekar:
Continuous-time Look-Ahead Scheduling of Energy Storage in Regulation Markets. HICSS 2019: 1-9 - [c49]Kyatsandra G. Nagananda, Pramod P. Khargonekar
:
Reduced-rank Analysis of the Total Least Squares. SPAWC 2019: 1-5 - [i13]Deepan Muthirayan, Enrique Baeyens, Pratyush Chakraborty, Kameshwar Poolla, Pramod P. Khargonekar:
A Minimal Incentive-based Demand Response Program With Self Reported Baseline Mechanism. CoRR abs/1901.02923 (2019) - [i12]Kyatsandra G. Nagananda, Pramod P. Khargonekar:
Reduced-rank Analysis of the Total Least Squares. CoRR abs/1903.01745 (2019) - [i11]Deepan Muthirayan, Pramod P. Khargonekar:
Memory Augmented Neural Network Adaptive Controllers: Performance and Stability. CoRR abs/1905.02832 (2019) - [i10]Deepan Muthirayan, Pramod P. Khargonekar:
Memory Augmented Neural Network Adaptive Controller for Strict Feedback Nonlinear Systems. CoRR abs/1906.05421 (2019) - [i9]Deepan Muthirayan, Scott A. Nivison, Pramod P. Khargonekar:
Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers. CoRR abs/1910.01189 (2019) - 2018
- [j56]Pramod P. Khargonekar
, Munther A. Dahleh:
Advancing systems and control research in the era of ML and AI. Annu. Rev. Control. 45: 1-4 (2018) - [j55]Pramod P. Khargonekar
:
Professor R.E. Kalman-Reflections on his way of thinking. Annu. Rev. Control. 45: 207-210 (2018) - [j54]Roohallah Khatami
, Majid Heidarifar
, Masood Parvania
, Pramod P. Khargonekar
:
Scheduling and Pricing of Load Flexibility in Power Systems. IEEE J. Sel. Top. Signal Process. 12(4): 645-656 (2018) - [c48]Pratyush Chakraborty
, Enrique Baeyens
, Kameshwar Poolla, Pramod P. Khargonekar
:
A Strategy to Maintain Short-Term Stability and Long-Term Profitability of Renewable Energy Aggregation. ACC 2018: 6162-6169 - [c47]Nayara Aguiar, Vijay Gupta
, Pramod P. Khargonekar
, Indraneel Chakraborty
:
Bilateral Contracts Between NGPPs and Renewable Plants Can Increase Penetration of Renewables. ACC 2018: 6176-6181 - [c46]Donya Ghavidel, Pratyush Chakraborty
, Enrique Baeyens
, Vijay Gupta
, Pramod P. Khargonekar
:
Incentive Design in a Distributed Problem with Strategic Agents. ACC 2018: 6539-6544 - [c45]Scott A. Nivison, Pramod P. Khargonekar
:
Development of a Robust, Sparsely-Activated, and Deep Recurrent Neural Network Controller for Flight Applications. CDC 2018: 384-390 - [c44]Roohallah Khatami
, Masood Parvania
, Pramod P. Khargonekar
, Akil Narayan:
Continuous-Time Stochastic Modeling and Estimation of Electricity Load. CDC 2018: 3988-3993 - [i8]Donya Ghavidel, Pratyush Chakraborty, Enrique Baeyens, Vijay Gupta, Pramod P. Khargonekar:
Incentive Design in a Distributed Problem with Strategic Agents. CoRR abs/1803.11130 (2018) - 2017
- [b1]Yuanxiong Guo
, Yuguang Fang, Pramod P. Khargonekar:
Stochastic Optimization for Distributed Energy Resources in Smart Grids. Springer Briefs in Electrical and Computer Engineering, Springer 2017, ISBN 978-3-319-59528-3, pp. 1-76 - [j53]Françoise Lamnabhi-Lagarrigue, Anuradha Annaswamy, Sebastian Engell, Alf J. Isaksson, Pramod P. Khargonekar
, Richard M. Murray, Henk Nijmeijer, Tariq Samad, Dawn M. Tilbury, Paul M. J. Van den Hof
:
Systems & Control for the future of humanity, research agenda: Current and future roles, impact and grand challenges. Annu. Rev. Control. 43: 1-64 (2017) - [j52]Anshu Ranjan
, Pramod P. Khargonekar
, Sartaj Sahni:
Offline first-fit decreasing height scheduling of power loads. J. Sched. 20(5): 527-542 (2017) - [j51]Zachariah E. Fuchs, Pramod P. Khargonekar
:
Generalized Engage or Retreat Differential Game With Escort Regions. IEEE Trans. Autom. Control. 62(2): 668-681 (2017) - [j50]Kyatsandra G. Nagananda, Pramod P. Khargonekar
:
An Approximately Optimal Algorithm for Scheduling Phasor Data Transmissions in Smart Grid Networks. IEEE Trans. Smart Grid 8(4): 1649-1657 (2017) - [c43]Harsha Nagarajan, Prabhakar R. Pagilla, Swaroop Darbha, Russell Bent
, Pramod P. Khargonekar
:
Optimal configurations to minimize disturbance propagation in manufacturing networks. ACC 2017: 2213-2218 - [c42]Scott A. Nivison, Pramod P. Khargonekar
:
Development of a robust deep recurrent neural network controller for flight applications. ACC 2017: 5336-5342 - [i7]Pratyush Chakraborty, Enrique Baeyens, Pramod P. Khargonekar:
Analysis of Solar Energy Aggregation under Various Billing Mechanisms. CoRR abs/1708.05889 (2017) - [i6]Pratyush Chakraborty, Enrique Baeyens, Kameshwar Poolla, Pramod P. Khargonekar, Pravin Varaiya:
Sharing Storage in a Smart Grid: A Coalitional Game Approach. CoRR abs/1712.02909 (2017) - 2016
- [j49]Athanasios C. Antoulas, Tryphon T. Georgiou, Pramod P. Khargonekar, A. Bülent Özgüler, Eduardo D. Sontag, Yutaka Yamamoto:
Obituary for Professor Rudolf Emil Kalman. Autom. 74: 370-371 (2016) - [j48]Myoungkuk Park
, Kalyanam Krishnamoorthy
, Swaroop Darbha, Pramod P. Khargonekar
, Meir Pachter, Phillip R. Chandler:
Performance Guarantee of an Approximate Dynamic Programming Policy for Robotic Surveillance. IEEE Trans Autom. Sci. Eng. 13(2): 564-578 (2016) - [c41]Pratyush Chakraborty
, Enrique Baeyens
, Pramod P. Khargonekar
, Kameshwar Poolla:
A cooperative game for the realized profit of an aggregation of renewable energy producers. CDC 2016: 5805-5812 - [c40]Anshu Ranjan, Pramod P. Khargonekar
, Sartaj Sahni:
Smart grid power scheduling via bottom left decreasing height packing. ISCC 2016: 1128-1133 - [i5]Sivakumar Rathinam, Pramod P. Khargonekar:
An Approximation Algorithm for a Shortest Dubins Path Problem. CoRR abs/1604.05064 (2016) - 2015
- [j47]Shivakeshavan Ratnadurai-Giridharan
, Pramod P. Khargonekar
, Sachin S. Talathi
:
Emergent gamma synchrony in all-to-all interneuronal networks. Frontiers Comput. Neurosci. 9: 127 (2015) - [c39]Seyedbehzad Nabavi, Aranya Chakrabortty
, Pramod P. Khargonekar
:
A global identifiability condition for consensus networks on tree graphs. ACC 2015: 1830-1835 - [c38]Anshu Ranjan, Pramod P. Khargonekar
, Sartaj Sahni:
Offline first fit scheduling in smart grids. ISCC 2015: 758-763 - [i4]Kyatsandra G. Nagananda, Pramod P. Khargonekar:
An Approximately Optimal Algorithm for Scheduling Phasor Data Transmissions in Smart Grid Networks. CoRR abs/1504.06782 (2015) - 2014
- [j46]Manu Nandan, Pramod P. Khargonekar, Sachin S. Talathi:
Fast SVM training using approximate extreme points. J. Mach. Learn. Res. 15(1): 59-98 (2014) - [j45]Yuanxiong Guo
, Yanmin Gong
, Yuguang Fang
, Pramod P. Khargonekar
, Xiaojun Geng
:
Energy and Network Aware Workload Management for Sustainable Data Centers with Thermal Storage. IEEE Trans. Parallel Distributed Syst. 25(8): 2030-2042 (2014) - [j44]Anuradha Annaswamy, Duncan S. Callaway, Joseph Chow, Christopher DeMarco, David J. Hill
, Pramod P. Khargonekar
, Anders Rantzer, Jakob Stoustrup
:
Guest Editorial Special Section on Control Theory and Technology. IEEE Trans. Smart Grid 5(4): 2031-2032 (2014) - [c37]Pratyush Chakraborty
, Pramod P. Khargonekar
:
Impact of irrational consumers on rational consumers in a smart grid. ACC 2014: 58-64 - [c36]Zachariah E. Fuchs, Pramod P. Khargonekar
:
An engage or retreat differential game with an escort region. CDC 2014: 4290-4297 - [c35]Anshu Ranjan, Pramod P. Khargonekar
, Sartaj Sahni:
Offline preemptive scheduling of power demands to minimize peak power in smart grids. ISCC 2014: 1-6 - [c34]Yuanxiong Guo
, Yanmin Gong
, Yuguang Fang
, Pramod P. Khargonekar
:
Stochastic minimization of imbalance cost for a virtual power plant in electricity markets. ISGT 2014: 1-5 - [c33]Pratyush Chakraborty
, Pramod P. Khargonekar
:
A demand response game and its robust price of anarchy. SmartGridComm 2014: 644-649 - [i3]Seyedbehzad Nabavi, Aranya Chakrabortty, Pramod P. Khargonekar:
A Global Identifiability Condition for Consensus Networks with Tree Graphs. CoRR abs/1412.0684 (2014) - 2013
- [j43]Annarita Giani, Eilyan Bitar, Manuel J. Garcia, Miles McQueen, Pramod P. Khargonekar
, Kameshwar Poolla:
Smart Grid Data Integrity Attacks. IEEE Trans. Smart Grid 4(3): 1244-1253 (2013) - [j42]Yuanxiong Guo
, Miao Pan, Yuguang Fang
, Pramod P. Khargonekar
:
Decentralized Coordination of Energy Utilization for Residential Households in the Smart Grid. IEEE Trans. Smart Grid 4(3): 1341-1350 (2013) - [c32]Kalyanam Krishnamoorthy
, Swaroop Darbha, Pramod P. Khargonekar, David W. Casbeer, Phillip R. Chandler, Meir Pachter:
Optimal minimax pursuit evasion on a Manhattan grid. ACC 2013: 3421-3428 - [c31]Ufuk Topcu
, Dennice F. Gayme, Steven H. Low, Pramod P. Khargonekar:
Towards smart, flexible and efficient power systems: Vision and research challenges. ACC 2013: 5237-5244 - [c30]Xiaojun Geng
, Pramod P. Khargonekar:
Demand management of electric vehicle loads. ACC 2013: 5821-5826 - [c29]Aranya Chakrabortty
, Pramod P. Khargonekar:
Introduction to wide-area control of power systems. ACC 2013: 6758-6770 - [c28]Pratyush Chakraborty
, Pramod P. Khargonekar
:
Flexible loads and renewable integration: Distributed control and price of anarchy. CDC 2013: 2306-2312 - [c27]Yuanxiong Guo
, Yanmin Gong
, Yuguang Fang
, Pramod P. Khargonekar
, Xiaojun Geng:
Optimal power and workload management for green data centers with thermal storage. GLOBECOM 2013: 2866-2871 - [c26]Yuanxiong Guo
, Yuguang Fang
, Pramod P. Khargonekar
:
Optimal Workload and Energy Storage Management for Cloud Data Centers. MILCOM 2013: 1850-1855 - [i2]Manu Nandan, Pramod P. Khargonekar, Sachin S. Talathi:
Fast SVM training using approximate extreme points. CoRR abs/1304.1391 (2013) - [i1]Yutaka Yamamoto, Masaaki Nagahara, Pramod P. Khargonekar:
Signal Reconstruction via H-infinity Sampled-Data Control Theory: Beyond the Shannon Paradigm. CoRR abs/1308.2063 (2013) - 2012
- [j41]Li Xie, Pramod P. Khargonekar
:
Lyapunov-based adaptive state estimation for a class of nonlinear stochastic systems. Autom. 48(7): 1423-1431 (2012) - [j40]Erin R. Boykin, Pramod P. Khargonekar
, Paul R. Carney, William O. Ogle, Sachin S. Talathi
:
Detecting effective connectivity in networks of coupled neuronal oscillators. J. Comput. Neurosci. 32(3): 521-538 (2012) - [j39]Yutaka Yamamoto, Masaaki Nagahara
, Pramod P. Khargonekar
:
Signal Reconstruction via Hinfty Sampled-Data Control Theory - Beyond the Shannon Paradigm. IEEE Trans. Signal Process. 60(2): 613-625 (2012) - [c25]Zachariah E. Fuchs, Pramod P. Khargonekar:
A sequential Colonel Blotto game with a sensor network. ACC 2012: 1851-1857 - [c24]Eilyan Y. Bitar, Enrique Baeyens, Pramod P. Khargonekar, Kameshwar Poolla, Pravin Varaiya:
Optimal sharing of quantity risk for a coalition of wind power producers facing nodal prices. ACC 2012: 4438-4445 - [c23]Eilyan Bitar, Kameshwar Poolla, Pramod P. Khargonekar
, Ram Rajagopal, Pravin Varaiya, Felix F. Wu:
Selling Random Wind. HICSS 2012: 1931-1937 - [c22]Yuanxiong Guo
, Miao Pan, Yuguang Fang
, Pramod P. Khargonekar
:
Coordinated energy scheduling for residential households in the smart grid. SmartGridComm 2012: 121-126 - [c21]Xiaojun Geng
, Pramod P. Khargonekar
:
Electric vehicles as flexible loads: Algorithms to optimize aggregate behavior. SmartGridComm 2012: 430-435 - 2011
- [j38]Sachin S. Talathi
, Paul R. Carney, Pramod P. Khargonekar
:
Control of neural synchrony using channelrhodopsin-2: a computational study. J. Comput. Neurosci. 31(1): 87-103 (2011) - [c20]Eilyan Bitar, Ram Rajagopal, Pramod P. Khargonekar, Kameshwar Poolla:
The role of co-located storage for wind power producers in conventional electricity markets. ACC 2011: 3886-3891 - [c19]Zachariah E. Fuchs, Pramod P. Khargonekar:
Games, deception, and Jones' Lemma. ACC 2011: 4532-4537 - [c18]Zachariah E. Fuchs, Pramod P. Khargonekar
:
Encouraging attacker retreat through defender cooperation. CDC/ECC 2011: 235-242 - [c17]Enrique Baeyens
, Eilyan Bitar, Pramod P. Khargonekar
, Kameshwar Poolla:
Wind energy aggregation: A coalitional game approach. CDC/ECC 2011: 3000-3007 - [c16]David E. Bakken, Anjan Bose, K. Mani Chandy, Pramod P. Khargonekar
, Anthony Kuh, Steven H. Low, Alexandra von Meier, Kameshwar Poolla, Pravin Varaiya, Felix F. Wu:
GRIP - Grids with intelligent periphery: Control architectures for Grid2050π. SmartGridComm 2011: 7-12 - [c15]Annarita Giani, Eilyan Bitar, Manuel J. Garcia, Miles McQueen, Pramod P. Khargonekar
, Kameshwar Poolla:
Smart grid data integrity attacks: characterizations and countermeasuresπ. SmartGridComm 2011: 232-237 - 2010
- [c14]Li Xie, Pramod P. Khargonekar:
Lyapunov-based adaptive state estimation for a class of continuous-time nonlinear stochastic systems. ACC 2010: 6071-6076 - [c13]Eilyan Bitar, Annarita Giani, Ram Rajagopal, Damiano Varagnolo
, Pramod P. Khargonekar
, Kameshwar Poolla, Pravin Varaiya:
Optimal contracts for wind power producers in electricity markets. CDC 2010: 1919-1926 - [c12]Zachariah E. Fuchs, Pramod P. Khargonekar
, Johnny Evers:
Cooperative defense within a single-pursuer, two-evader pursuit evasion differential game. CDC 2010: 3091-3097
2000 – 2009
- 2009
- [j37]Ji-Woong Lee, Pramod P. Khargonekar
:
Distribution-free consistency of empirical risk minimization and support vector regression. Math. Control. Signals Syst. 21(2): 111-125 (2009) - [j36]Ji-Woong Lee, Pramod P. Khargonekar
:
Detectability and Stabilizability of Discrete-Time Switched Linear Systems. IEEE Trans. Autom. Control. 54(3): 424-437 (2009) - 2008
- [j35]Ji-Woong Lee, Pramod P. Khargonekar
:
Optimal Output Regulation for Discrete-Time Switched and Markovian Jump Linear Systems. SIAM J. Control. Optim. 47(1): 40-72 (2008) - [c11]Ji-Woong Lee, Geir E. Dullerud, Pramod P. Khargonekar
:
Path-by-path optimal control of switched and Markovian jump linear systems. CDC 2008: 5324-5329 - [c10]Chi Zhang, Pan Li
, Yuguang Fang
, Pramod P. Khargonekar
:
Decentralized Routing in Nonhomogeneous Poisson Networks. ICDCS 2008: 478-485 - 2007
- [j34]Ji-Woong Lee, Pramod P. Khargonekar
:
Constrained Infinite-Horizon Linear Quadratic Regulation of Discrete-Time Systems. IEEE Trans. Autom. Control. 52(10): 1951-1958 (2007) - [c9]Ji-Woong Lee, Geir E. Dullerud, Pramod P. Khargonekar
:
An output regulation problem for switched linear systems in discrete time. CDC 2007: 4993-4998 - 2003
- [j33]Richard E. Groff, Pramod P. Khargonekar
, Daniel E. Koditschek:
A Local Convergence Proof for the Minvar Algorithm for Computing Continuous Piecewise Linear Approximations. SIAM J. Numer. Anal. 41(3): 983-1007 (2003) - [j32]Ji-Woong Lee, Pramod P. Khargonekar
:
A convex optimization-based nonlinear filtering algorithm with applications to real-time sensing for patterned wafers. IEEE Trans. Autom. Control. 48(2): 224-235 (2003) - [c8]Ji-Woong Lee, Pramod P. Khargonekar:
Generalization ability of a class of empirical risk minimization algorithms and the support vector regression method. CDC 2003: 2942-2947 - 2002
- [j31]Dhrubajyoti Kalita, Pramod P. Khargonekar
:
Formal verification for analysis and design of logic controllers for reconfigurable machining systems. IEEE Trans. Robotics Autom. 18(4): 463-474 (2002) - 2001
- [j30]Euisu Park, Dawn M. Tilbury, Pramod P. Khargonekar
:
A modeling and analysis methodology for modular logic controllers of machining systems using Petri net formalism. IEEE Trans. Syst. Man Cybern. Syst. 31(2): 168-188 (2001) - [c7]Ji-Woong Lee, Pramod P. Khargonekar:
Simulation-based nonlinear filtering with redundant observations and bounded disturbances. CDC 2001: 2125-2130 - 2000
- [c6]Euisu Park, Dawn M. Tilbury, Pramod P. Khargonekar:
A modeling and analysis methodology for modular logic controllers of machining systems with auto, hand, and manual control modes. ACC 2000: 3158-3164 - [c5]Dhrubajyoti Kalita, Pramod P. Khargonekar
:
Formal verification for analysis and design of reconfigurable controllers for manufacturing systems. ACC 2000: 3533-3539 - [c4]Richard E. Groff, Daniel E. Koditschek, Pramod P. Khargonekar:
Piecewise Linear Homeomorphisms: The Scalar Case. IJCNN (3) 2000: 259-264 - [c3]Euisu Park, Dawn M. Tilbury, Pramod P. Khargonekar:
Control logic generation for machining systems using Petri net formalism. SMC 2000: 3201-3206
1990 – 1999
- 1999
- [j29]Tyrone L. Vincent, Pramod P. Khargonekar
:
A class of nonlinear filtering problems arising from drifting sensor gains. IEEE Trans. Autom. Control. 44(3): 509-520 (1999) - [j28]Euisu Park, Dawn M. Tilbury, Pramod P. Khargonekar
:
Modular logic controllers for machining systems: formal representation and performance analysis using Petri nets. IEEE Trans. Robotics Autom. 15(6): 1046-1061 (1999) - [c2]Euisu Park, Dawn M. Tilbury, Pramod P. Khargonekar:
Performance Analysis of Machining Systems with Modular Logic Controllers. ICRA 1999: 137-144 - 1997
- [c1]Le Yi Wang, Pramod P. Khargonekar
, Ali Beydoun:
Robust Control of Hybrid Systems: Performance Guided Strategies. Hybrid Systems 1997: 356-389 - 1996
- [j27]Yutaka Yamamoto, Pramod P. Khargonekar
:
Frequency response of sampled-data systems. IEEE Trans. Autom. Control. 41(2): 166-176 (1996) - [j26]Duk-Sun Shim, Jaehong Park, Pramod P. Khargonekar
, W. B. Ribbns:
Reducing automotive engine speed fluctuation at idle. IEEE Trans. Control. Syst. Technol. 4(4): 404-410 (1996) - 1995
- [j25]Kemin Zhou, Pramod P. Khargonekar
, Jakob Stoustrup
, Hans Henrik Niemann
:
Robust performance of systems with structured uncertainties in state space. Autom. 31(2): 249-255 (1995) - [j24]Jonathan H. Friedman, Pierre T. Kabamba, Pramod P. Khargonekar
:
Worst-case and average H2 performance analysis against real constant parametric uncertainty. Autom. 31(4): 649-657 (1995) - [j23]Isaac Kaminer, António Manuel Santos Pascoal
, Pramod P. Khargonekar
, Edward E. Coleman:
A velocity algorithm for the implementation of gain-scheduled controllers. Autom. 31(8): 1185-1191 (1995) - [j22]J. Abedor, Krishan Nagpal, Pramod P. Khargonekar
, Kameshwar Poolla:
Robust regulation in the presence of norm-bounded uncertainty. IEEE Trans. Autom. Control. 40(1): 147-153 (1995) - [j21]Jonathan H. Friedman, Pramod P. Khargonekar
:
Application of identification in 𝒽∞ to lightly damped systems: two case studies. IEEE Trans. Control. Syst. Technol. 3(3): 279-289 (1995) - 1994
- [j20]N. Sivashankar, Isaac Kaminer, Pramod P. Khargonekar
:
Optimal controller synthesis with D stability. Autom. 30(6): 1003-1008 (1994) - [j19]Pramod P. Khargonekar
, A. Bülent Özgüler:
Decentralized control and periodic feedback. IEEE Trans. Autom. Control. 39(4): 877-882 (1994) - [j18]Kameshwar Poolla, Pramod P. Khargonekar
, Ashok Tikku, James M. Krause, Krishan Nagpal:
A time-domain approach to model validation. IEEE Trans. Autom. Control. 39(5): 951-959 (1994) - [j17]Weiqian Sun, Pramod P. Khargonekar
, Duk-Sun Shim:
Solution to the positive real control problem for linear time-invariant systems. IEEE Trans. Autom. Control. 39(10): 2034-2046 (1994) - 1993
- [j16]Isaac Kaminer, Pramod P. Khargonekar
, Mario A. Rotea:
Mixed H2/H∞ control for discrete-time systems via convex optimization, . Autom. 29(1): 57-70 (1993) - [j15]Hüseyin Akçay
, Pramod P. Khargonekar
:
The least squares algorithm, parametric system identification and bounded noise. Autom. 29(6): 1535-1540 (1993) - [j14]N. Sivashankar, Pramod P. Khargonekar
:
Robust stability and performance analysis of sampled-data systems. IEEE Trans. Autom. Control. 38(1): 58-69 (1993) - [j13]Hüseyin Akçay, Guoxiang Gu, Pramod P. Khargonekar
:
A class of algorithms for identification in H∞: continuous-time case. IEEE Trans. Autom. Control. 38(2): 289-294 (1993) - [j12]António M. Pascoal
, R. Ravi, Pramod P. Khargonekar
:
The graph topology for linear plants with applications to nonlinear robust stabilization. IEEE Trans. Autom. Control. 38(2): 298-302 (1993) - [j11]Weiqian Sun, Krishan Nagpal, Pramod P. Khargonekar
:
H∞ control and filtering for sampled-data systems. IEEE Trans. Autom. Control. 38(8): 1162-1175 (1993) - 1992
- [j10]James M. Krause, Gunter Stein, Pramod P. Khargonekar
:
Sufficient conditions for robust performance of adaptive controllers with general uncertainty structure. Autom. 28(2): 277-288 (1992) - [j9]Guoxiang Gu, Pramod P. Khargonekar
:
A class of algorithms for identification in H∞. Autom. 28(2): 299-312 (1992) - [j8]N. Sivashankar, Pramod P. Khargonekar
:
Induced norms for sampled-data systems. Autom. 28(6): 1267-1272 (1992) - 1991
- [j7]Mario A. Rotea, Pramod P. Khargonekar
:
H2-optimal control with an H∞-constraint The state feedback case. Autom. 27(2): 307-316 (1991) - 1990
- [j6]James M. Krause, Pramod P. Khargonekar
:
Parameter identification in the presence of non-parametric dynamic uncertainty. Autom. 26(1): 113-123 (1990) - [j5]B. R. Barmish, Pramod P. Khargonekar
:
Robust stability of feedback control systems with uncertain parameters and unmodeled dynamics. Math. Control. Signals Syst. 3(3): 197-210 (1990)
1980 – 1989
- 1988
- [j4]Kathryn E. Lenz, Pramod P. Khargonekar
, John C. Doyle:
When is a controllerH∞-optimal? Math. Control. Signals Syst. 1(2): 107-122 (1988) - 1987
- [j3]Tryphon T. Georgiou
, António Manuel Santos Pascoal
, Pramod P. Khargonekar
:
On the robust stabilizability of uncertain linear time-invariant plants using nonlinear time-varying controllers. Autom. 23(5): 617-624 (1987) - 1986
- [j2]Pramod P. Khargonekar
, Kameshwar Poolla:
Robust stabilization of distributed systems. Autom. 22(1): 77-84 (1986) - 1984
- [j1]Jacob Hammer, Pramod P. Khargonekar
:
Decoupling of Linear Systems by Dynamic Output Feedback. Math. Syst. Theory 17(2): 135-157 (1984)
Coauthor Index

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