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ORCIDGeorge J. Pappas
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- affiliation: University of Pennsylvania, Philadelphia, PA, USA
- award (2002): Presidential Early Career Award for Scientists and Engineers
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2020 – today
- 2021
[j113]Konstantinos Gatsis, George J. Pappas:
Statistical learning for analysis of networked control systems over unknown channels. Autom. 125: 109386 (2021)- [j112]Matthew Malencia
, Vijay Kumar, George J. Pappas, Amanda Prorok:
Fair Robust Assignment Using Redundancy. IEEE Robotics Autom. Lett. 6(2): 4217-4224 (2021) - [j111]Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro:
Approximate Supermodularity of Kalman Filter Sensor Selection. IEEE Trans. Autom. Control. 66(1): 49-63 (2021) - [j110]Konstantinos Gatsis, Hamed Hassani, George J. Pappas:
Latency-Reliability Tradeoffs for State Estimation. IEEE Trans. Autom. Control. 66(3): 1009-1023 (2021) - [j109]Vasileios Tzoumas, Luca Carlone, George J. Pappas, Ali Jadbabaie:
LQG Control and Sensing Co-Design. IEEE Trans. Autom. Control. 66(4): 1468-1483 (2021) - [j108]Andreea B. Alexandru, Konstantinos Gatsis, Yasser Shoukry, Sanjit A. Seshia, Paulo Tabuada, George J. Pappas:
Cloud-Based Quadratic Optimization With Partially Homomorphic Encryption. IEEE Trans. Autom. Control. 66(5): 2357-2364 (2021) - [j107]Fei Miao, Sihong He, Lynn Pepin, Shuo Han, Abdeltawab M. Hendawi, Mohamed E. Khalefa, John A. Stankovic, George J. Pappas:
Data-driven Distributionally Robust Optimization For Vehicle Balancing of Mobility-on-Demand Systems. ACM Trans. Cyber Phys. Syst. 5(2): 17:1-17:27 (2021) - [j106]Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Rajeev Alur, George J. Pappas, Insup Lee:
Verifying the Safety of Autonomous Systems with Neural Network Controllers. ACM Trans. Embed. Comput. Syst. 20(1): 7:1-7:26 (2021) - [j105]Ke Sun, Brent Schlotfeldt, George J. Pappas, Vijay Kumar:
Stochastic Motion Planning Under Partial Observability for Mobile Robots With Continuous Range Measurements. IEEE Trans. Robotics 37(3): 979-995 (2021) - [c277]Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Rajeev Alur, George J. Pappas, Insup Lee:
Verisig 2.0: Verification of Neural Network Controllers Using Taylor Model Preconditioning. CAV (1) 2021: 249-262 - [c276]Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, Victor M. Preciado:
Learning Lyapunov Functions for Hybrid Systems. CISS 2021: 1 - [c275]Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, Victor M. Preciado:
Learning lyapunov functions for hybrid systems. HSCC 2021: 13:1-13:11 - [c274]Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger:
Preface. L4DC 2021: 1-5 - [c273]Alexander Robey, Arman Adibi, Brent Schlotfeldt, Hamed Hassani, George J. Pappas:
Optimal Algorithms for Submodular Maximization with Distributed Constraints. L4DC 2021: 150-162 - [e5]Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger:
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, L4DC 2021, 7-8 June 2021, Virtual Event, Switzerland. Proceedings of Machine Learning Research 144, PMLR 2021 [contents] - [i110]Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How:
Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams. CoRR abs/2101.11093 (2021) - [i109]Matthew Malencia, Vijay Kumar, George J. Pappas, Amanda Prorok:
Fair Robust Assignment using Redundancy. CoRR abs/2102.06265 (2021) - [i108]Aritra Mitra, Rayana Jaafar, George J. Pappas, Hamed Hassani:
Achieving Linear Convergence in Federated Learning under Objective and Systems Heterogeneity. CoRR abs/2102.07053 (2021) - [i107]Alexander Robey, George J. Pappas, Hamed Hassani:
Model-Based Domain Generalization. CoRR abs/2102.11436 (2021) - [i106]Brent Schlotfeldt, Vasileios Tzoumas, George J. Pappas:
Resilient Active Information Acquisition with Teams of Robots. CoRR abs/2103.02733 (2021) - [i105]Yiannis Kantaros, George J. Pappas:
Technical Report: Scalable Active Information Acquisition for Multi-Robot Systems. CoRR abs/2103.09364 (2021) - [i104]Anastasios Tsiamis, George J. Pappas:
Linear Systems can be Hard to Learn. CoRR abs/2104.01120 (2021) - [i103]Lars Lindemann, Nikolai Matni, George J. Pappas:
STL Robustness Risk over Discrete-Time Stochastic Processes. CoRR abs/2104.01503 (2021) - [i102]Alena Rodionova, Lars Lindemann, Manfred Morari, George J. Pappas:
Time-Robust Control for STL Specifications. CoRR abs/2104.02677 (2021) - [i101]Andreea B. Alexandru, Anastasios Tsiamis, George J. Pappas:
Encrypted Distributed Lasso for Sparse Data Predictive Control. CoRR abs/2104.11632 (2021) - [i100]Wanxin Jin, Shaoshuai Mou, George J. Pappas:
Safe Pontryagin Differentiable Programming. CoRR abs/2105.14937 (2021) - 2020
- [j104]Andrea Alessandretti, Sérgio Pequito, George J. Pappas, A. Pedro Aguiar:
Finite-dimensional control of linear discrete-time fractional-order systems. Autom. 115: 108512 (2020) - [j103]Jacob H. Seidman, Mahyar Fazlyab, Victor M. Preciado, George J. Pappas:
A Control-Theoretic Approach to Analysis and Parameter Selection of Douglas-Rachford Splitting. IEEE Control. Syst. Lett. 4(1): 199-204 (2020) - [j102]Vasileios Vasilopoulos, Georgios Pavlakos, Sean L. Bowman, J. Diego Caporale, Kostas Daniilidis, George J. Pappas, Daniel E. Koditschek:
Reactive Semantic Planning in Unexplored Semantic Environments Using Deep Perceptual Feedback. IEEE Robotics Autom. Lett. 5(3): 4455-4462 (2020) - [j101]Nicholas J. Watkins, Cameron Nowzari, George J. Pappas:
Robust Economic Model Predictive Control of Continuous-Time Epidemic Processes. IEEE Trans. Autom. Control. 65(3): 1116-1131 (2020) - [j100]Anastasios Tsiamis, Konstantinos Gatsis, George J. Pappas:
State-Secrecy Codes for Networked Linear Systems. IEEE Trans. Autom. Control. 65(5): 2001-2015 (2020) - [j99]Sean L. Bowman, Cameron Nowzari, George J. Pappas:
Consensus of Multiagent Systems Via Asynchronous Cloud Communication. IEEE Trans. Control. Netw. Syst. 7(2): 627-637 (2020) - [j98]Cassiano O. Becker, Sérgio Pequito, George J. Pappas, Victor M. Preciado:
Network Design for Controllability Metrics. IEEE Trans. Control. Netw. Syst. 7(3): 1404-1415 (2020) - [j97]Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro:
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems. IEEE Trans. Signal Process. 68: 6272-6286 (2020) - [c272]Lars Lindemann, George J. Pappas, Dimos V. Dimarogonas:
Control Barrier Functions for Nonholonomic Systems under Risk Signal Temporal Logic Specifications. CDC 2020: 1422-1428 - [c271]Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon, Alejandro Ribeiro, George J. Pappas:
Risk-Constrained Linear-Quadratic Regulators. CDC 2020: 3040-3047 - [c270]Pushpak Jagtap, George J. Pappas, Majid Zamani:
Control Barrier Functions for Unknown Nonlinear Systems using Gaussian Processes. CDC 2020: 3699-3704 - [c269]Andreea B. Alexandru, Anastasios Tsiamis, George J. Pappas:
Towards Private Data-driven Control. CDC 2020: 5449-5456 - [c268]Haimin Hu, Mahyar Fazlyab, Manfred Morari, George J. Pappas:
Reach-SDP: Reachability Analysis of Closed-Loop Systems with Neural Network Controllers via Semidefinite Programming. CDC 2020: 5929-5934 - [c267]Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro:
Almost-Zero Duality Gaps in Model-Free Resource Allocation for Wireless Systems. EUSIPCO 2020: 1727-1731 - [c266]Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Rajeev Alur, George J. Pappas, Insup Lee:
Case study: verifying the safety of an autonomous racing car with a neural network controller. HSCC 2020: 28:1-28:7 - [c265]Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro:
A Zeroth-Order Learning Algorithm for Ergodic Optimization of Wireless Systems with no Models and no Gradients. ICASSP 2020: 5045-5049 - [c264]Dionysios S. Kalogerias, Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro:
Better Safe Than Sorry: Risk-Aware Nonlinear Bayesian Estimation. ICASSP 2020: 5480-5484 - [c263]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning. ICRA 2020: 2479-2485 - [c262]Kelsey Saulnier, Nikolay Atanasov, George J. Pappas, Vijay Kumar:
Information Theoretic Active Exploration in Signed Distance Fields. ICRA 2020: 4080-4085 - [c261]Yiannis Kantaros, Matthew Malencia, Vijay Kumar, George J. Pappas:
Reactive Temporal Logic Planning for Multiple Robots in Unknown Environments. ICRA 2020: 11479-11485 - [c260]Douglas G. Macharet, Austin K. Chen, Daigo Shishika, George J. Pappas, Vijay Kumar:
Adaptive Partitioning for Coordinated Multi-agent Perimeter Defense. IROS 2020: 7971-7977 - [c259]Anastasios Tsiamis, Nikolai Matni, George J. Pappas:
Sample Complexity of Kalman Filtering for Unknown Systems. L4DC 2020: 435-444 - [c258]Jacob H. Seidman, Mahyar Fazlyab, Victor M. Preciado, George J. Pappas:
Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees. L4DC 2020: 884-893 - [e4]Alexandre M. Bayen, Ali Jadbabaie, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger:
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020. Proceedings of Machine Learning Research 120, PMLR 2020 [contents] - [i99]Anastasios Tsiamis, George J. Pappas:
Online Learning of the Kalman Filter with Logarithmic Regret. CoRR abs/2002.05141 (2020) - [i98]Vasileios Vasilopoulos, Georgios Pavlakos, Sean L. Bowman, J. Diego Caporale, Kostas Daniilidis, George J. Pappas, Daniel E. Koditschek:
Technical Report: Reactive Semantic Planning in Unexplored Semantic Environments Using Deep Perceptual Feedback. CoRR abs/2002.12349 (2020) - [i97]Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon, Alejandro Ribeiro, George J. Pappas:
Risk-Constrained Linear-Quadratic Regulators. CoRR abs/2004.04685 (2020) - [i96]Haimin Hu, Mahyar Fazlyab, Manfred Morari, George J. Pappas:
Reach-SDP: Reachability Analysis of Closed-Loop Systems with Neural Network Controllers via Semidefinite Programming. CoRR abs/2004.07876 (2020) - [i95]Jacob H. Seidman, Mahyar Fazlyab, Victor M. Preciado, George J. Pappas:
Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees. CoRR abs/2005.00616 (2020) - [i94]Jason Z. Kim, Zhixin Lu, Erfan Nozari, George J. Pappas, Danielle S. Bassett:
Teaching Recurrent Neural Networks to Modify Chaotic Memories by Example. CoRR abs/2005.01186 (2020) - [i93]Alexander Robey, Hamed Hassani, George J. Pappas:
Model-Based Robust Deep Learning. CoRR abs/2005.10247 (2020) - [i92]Harshat Kumar, Dionysios S. Kalogerias, George J. Pappas, Alejandro Ribeiro:
Zeroth-order Deterministic Policy Gradient. CoRR abs/2006.07314 (2020) - [i91]Heejin Jeong, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas:
Learning to Track Dynamic Targets in Partially Known Environments. CoRR abs/2006.10190 (2020) - [i90]Andreea B. Alexandru, Anastasios Tsiamis, George J. Pappas:
Data-driven control on encrypted data. CoRR abs/2008.12671 (2020) - [i89]Hans Riess, Yiannis Kantaros, George J. Pappas, Robert Ghrist:
Distributed Locally Non-interfering Connectivity via Linear Temporal Logic. CoRR abs/2009.00669 (2020) - [i88]Moritz Schulze Darup, Andreea B. Alexandru, Daniel E. Quevedo, George J. Pappas:
Encrypted control for networked systems - An illustrative introduction and current challenges. CoRR abs/2010.00268 (2020) - [i87]Pushpak Jagtap, George J. Pappas, Majid Zamani:
Control Barrier Functions for Unknown Nonlinear Systems using Gaussian Processes. CoRR abs/2010.05818 (2020) - [i86]Andreea B. Alexandru, George J. Pappas:
Private Weighted Sum Aggregation. CoRR abs/2010.10640 (2020) - [i85]Vasileios Vasilopoulos, Yiannis Kantaros, George J. Pappas, Daniel E. Koditschek:
Technical Report: Reactive Planning for Mobile Manipulation Tasks in Unexplored Semantic Environments. CoRR abs/2011.00642 (2020) - [i84]Christopher D. Hsu, Heejin Jeong, George J. Pappas, Pratik Chaudhari:
Scalable Reinforcement Learning Policies for Multi-Agent Control. CoRR abs/2011.08055 (2020) - [i83]Ke Sun, Brent Schlotfeldt, George J. Pappas, Vijay Kumar:
Stochastic Motion Planning under Partial Observability for Mobile Robots with Continuous Range Measurements. CoRR abs/2011.11836 (2020) - [i82]Yiannis Kantaros, Matthew Malencia, George J. Pappas:
Reactive Temporal Logic Planning for Multiple Robots in Unknown Occupancy Grid Maps. CoRR abs/2012.07912 (2020) - [i81]Yiannis Kantaros, Qi Jin, George J. Pappas:
Sensor-Based Temporal Logic Planning in Uncertain Semantic Maps. CoRR abs/2012.10490 (2020) - [i80]Erfan Nozari, Jennifer Stiso, Lorenzo Caciagli, Eli J. Cornblath, Xiaosong He, Maxwell A. Bertolero, Arun S. Mahadevan, George J. Pappas, Danielle S. Bassett:
Is the brain macroscopically linear? A system identification of resting state dynamics. CoRR abs/2012.12351 (2020)
2010 – 2019
- 2019
- [j96]Nicholas J. Watkins, George J. Pappas:
Control of Generalized Discrete-Time SIS Epidemics via Submodular Function Minimization. IEEE Control. Syst. Lett. 3(2): 314-319 (2019) - [j95]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Resilient Active Target Tracking With Multiple Robots. IEEE Robotics Autom. Lett. 4(1): 129-136 (2019) - [j94]Radoslav Ivanov, Nikolay Atanasov, Miroslav Pajic, James Weimer, George J. Pappas, Insup Lee:
Continuous Estimation Using Context-Dependent Discrete Measurements. IEEE Trans. Autom. Control. 64(1): 235-250 (2019) - [j93]Ali Jadbabaie, Alexander Olshevsky, George J. Pappas, Vasileios Tzoumas:
Minimal Reachability is Hard To Approximate. IEEE Trans. Autom. Control. 64(2): 783-789 (2019) - [j92]Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado:
Minimal Edge Addition for Network Controllability. IEEE Trans. Control. Netw. Syst. 6(1): 312-323 (2019) - [j91]Sérgio Daniel Pequito, Farshad Khorrami, Prashanth Krishnamurthy, George J. Pappas:
Analysis and Design of Actuation-Sensing-Communication Interconnection Structures Toward Secured/Resilient LTI Closed-Loop Systems. IEEE Trans. Control. Netw. Syst. 6(2): 667-678 (2019) - [j90]Fei Miao, Shuo Han, Shan Lin, Qian Wang, John A. Stankovic, Abdeltawab M. Hendawi, Desheng Zhang, Tian He, George J. Pappas:
Data-Driven Robust Taxi Dispatch Under Demand Uncertainties. IEEE Trans. Control. Syst. Technol. 27(1): 175-191 (2019) - [j89]Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro:
Learning in Wireless Control Systems Over Nonstationary Channels. IEEE Trans. Signal Process. 67(5): 1123-1137 (2019) - [c257]Anastasios Tsiamis, Andreea B. Alexandru, George J. Pappas:
Motion Planning with Secrecy. ACC 2019: 784-791 - [c256]Pedro P. V. Tecchio, Nikolay Atanasov, Shahin Shahrampour, George J. Pappas:
N-Dimensional Distributed Network Localization with Noisy Range Measurements and Arbitrary Anchor Placement. ACC 2019: 1195-1201 - [c255]Nicholas J. Watkins, George J. Pappas:
Optimal Reset Strategies for Mitigating Malware Epidemics. ACC 2019: 2054-2059 - [c254]Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado:
Resilient Structural Stabilizability of Undirected Networks. ACC 2019: 5173-5178 - [c253]Mahyar Fazlyab, Manfred Morari, George J. Pappas:
Probabilistic Verification and Reachability Analysis of Neural Networks via Semidefinite Programming. CDC 2019: 2726-2731 - [c252]Anastasios Tsiamis, George J. Pappas:
Finite Sample Analysis of Stochastic System Identification. CDC 2019: 3648-3654 - [c251]Mohammadhosein Hasanbeig, Yiannis Kantaros, Alessandro Abate, Daniel Kroening, George J. Pappas, Insup Lee:
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees. CDC 2019: 5338-5343 - [c250]Andreea B. Alexandru, Moritz Schulze Darup, George J. Pappas:
Encrypted Cooperative Control Revisited. CDC 2019: 7196-7202 - [c249]Ekaterina I. Tolstaya, Fernando Gama, James Paulos, George J. Pappas, Vijay Kumar, Alejandro Ribeiro:
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks. CoRL 2019: 671-682 - [c248]Radoslav Ivanov, James Weimer, Rajeev Alur, George J. Pappas, Insup Lee:
Verisig: verifying safety properties of hybrid systems with neural network controllers. HSCC 2019: 169-178 - [c247]Andreea B. Alexandru, George J. Pappas:
Encrypted LQG using labeled homomorphic encryption. ICCPS 2019: 129-140 - [c246]Heejin Jeong, Clark Zhang, George J. Pappas, Daniel D. Lee:
Assumed Density Filtering Q-learning. IJCAI 2019: 2607-2613 - [c245]Yiannis Kantaros, George J. Pappas:
Optimal Temporal Logic Planning for Multi-Robot Systems in Uncertain Semantic Maps. IROS 2019: 4127-4132 - [c244]Brent Schlotfeldt, Nikolay Atanasov, George J. Pappas:
Maximum Information Bounds for Planning Active Sensing Trajectories. IROS 2019: 4913-4920 - [c243]Heejin Jeong, Brent Schlotfeldt, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas:
Learning Q-network for Active Information Acquisition. IROS 2019: 6822-6827 - [c242]Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George J. Pappas:
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks. NeurIPS 2019: 11423-11434 - [c241]Yiannis Kantaros, Brent Schlotfeldt, Nikolay Atanasov, George J. Pappas:
Asymptotically Optimal Planning for Non-Myopic Multi-Robot Information Gathering. Robotics: Science and Systems 2019 - [i79]Mahyar Fazlyab, Manfred Morari, George J. Pappas:
Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming. CoRR abs/1903.01287 (2019) - [i78]Anastasios Tsiamis, George J. Pappas:
Finite Sample Analysis of Stochastic System Identification. CoRR abs/1903.09122 (2019) - [i77]Ekaterina I. Tolstaya, Fernando Gama, James Paulos, George J. Pappas, Vijay Kumar, Alejandro Ribeiro:
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks. CoRR abs/1903.10527 (2019) - [i76]Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George J. Pappas:
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks. CoRR abs/1906.04893 (2019) - [i75]Andreea B. Alexandru, George J. Pappas:
Secure Multi-party Computation for Cloud-based Control. CoRR abs/1906.09652 (2019) - [i74]Mohammadhosein Hasanbeig, Yiannis Kantaros, Alessandro Abate, Daniel Kroening, George J. Pappas, Insup Lee:
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees. CoRR abs/1909.05304 (2019) - [i73]Bruno Augusto Angélico, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro, George J. Pappas:
Source Seeking in Unknown Environments with Convex Obstacles. CoRR abs/1909.07496 (2019) - [i72]Vasileios Tzoumas, Ali Jadbabaie, George J. Pappas:
Robust and Adaptive Sequential Submodular Optimization. CoRR abs/1909.11783 (2019) - [i71]Alexander Robey, Arman Adibi, Brent Schlotfeldt, George J. Pappas, Hamed Hassani:
Optimal Algorithms for Submodular Maximization with Distributed Constraints. CoRR abs/1909.13676 (2019) - [i70]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning. CoRR abs/1910.01208 (2019) - [i69]Mahyar Fazlyab, Manfred Morari, George J. Pappas:
Probabilistic Verification and Reachability Analysis of Neural Networks via Semidefinite Programming. CoRR abs/1910.04249 (2019) - [i68]Heejin Jeong, Brent Schlotfeldt, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas:
Learning Q-network for Active Information Acquisition. CoRR abs/1910.10754 (2019) - [i67]Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Rajeev Alur, George J. Pappas, Insup Lee:
Case Study: Verifying the Safety of an Autonomous Racing Car with a Neural Network Controller. CoRR abs/1910.11309 (2019) - [i66]Konstantinos Gatsis, George J. Pappas:
Statistical Learning for Analysis of Networked Control Systems over Unknown Channels. CoRR abs/1911.03422 (2019) - [i65]Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro:
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems. CoRR abs/1911.03988 (2019) - [i64]Dionysios S. Kalogerias, Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro:
Risk-Aware MMSE Estimation. CoRR abs/1912.02933 (2019) - [i63]Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro:
Approximate Supermodularity of Kalman Filter Sensor Selection. CoRR abs/1912.03799 (2019) - [i62]Anastasios Tsiamis, Nikolai Matni, George J. Pappas:
Sample Complexity of Kalman Filtering for Unknown Systems. CoRR abs/1912.12309 (2019) - 2018
- [j88]Konstantinos Gatsis, Alejandro Ribeiro, George J. Pappas:
Random access design for wireless control systems. Autom. 91: 1-9 (2018) - [j87]Fei Miao, Quanyan Zhu, Miroslav Pajic, George J. Pappas:
A hybrid stochastic game for secure control of cyber-physical systems. Autom. 93: 55-63 (2018) - [j86]Yasser Shoukry, Pierluigi Nuzzo, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, George J. Pappas, Paulo Tabuada:
SMC: Satisfiability Modulo Convex Programming. Proc. IEEE 106(9): 1655-1679 (2018) - [j85]Brent Schlotfeldt, Dinesh Thakur, Nikolay Atanasov, Vijay Kumar, George J. Pappas:
Anytime Planning for Decentralized Multirobot Active Information Gathering. IEEE Robotics Autom. Lett. 3(2): 1025-1032 (2018) - [j84]Nicholas J. Watkins, Cameron Nowzari, Victor M. Preciado, George J. Pappas:
Optimal Resource Allocation for Competitive Spreading Processes on Bilayer Networks. IEEE Trans. Control. Netw. Syst. 5(1): 298-307 (2018) - [j83]Vasileios Tzoumas, Yuankun Xue, Sérgio Pequito, Paul Bogdan, George J. Pappas:
Selecting Sensors in Biological Fractional-Order Systems. IEEE Trans. Control. Netw. Syst. 5(2): 709-721 (2018) - [j82]Fragkiskos Koufogiannis, George J. Pappas:
Diffusing Private Data Over Networks. IEEE Trans. Control. Netw. Syst. 5(3): 1027-1037 (2018) - [c240]Anastasios Tsiamis, Konstantinos Gatsis, George J. Pappas:
State-Secrecy Codes for Stable Systems. ACC 2018: 171-177 - [c239]Vasileios Tzoumas, Luca Carlone, George J. Pappas, Ali Jadbabaie:
Sensing-Constrained LQG Control. ACC 2018: 197-202 - [c238]Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro:
Learning in Non-Stationary Wireless Control Systems via Newton's Method. ACC 2018: 1410-1417 - [c237]