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Venkatraman Renganathan
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2020 – today
- 2024
- [c11]Maik Pfefferkorn, Venkatraman Renganathan
, Rolf Findeisen:
Regret and Conservatism of Distributionally Robust Constrained Stochastic Model Predictive Control. ACC 2024: 3251-3257 - [c10]Anton Nyström, Venkatraman Renganathan, Michael Cantoni:
Stereographic Projection of Probabilistic Frequency-Domain Uncertainty. CDC 2024: 4411-4417 - [c9]Venkatraman Renganathan
, Anders Rantzer, Olle Kjellqvist
:
Distributed Adaptive Control For Uncertain Networks. ECC 2024: 1789-1794 - [i17]Adrien Banse, Venkatraman Renganathan
, Raphaël M. Jungers:
A Cantor-Kantorovich Metric Between Markov Decision Processes with Application to Transfer Learning. CoRR abs/2407.08324 (2024) - [i16]Anton Nyström, Venkatraman Renganathan, Michael Cantoni:
Stereographic Projection of Probabilistic Frequency-Domain Uncertainty. CoRR abs/2409.17613 (2024) - 2023
- [j4]Venkatraman Renganathan
, Sleiman Safaoui, Aadi Kothari
, Benjamin Gravell
, Iman Shames
, Tyler H. Summers
:
Risk bounded nonlinear robot motion planning with integrated perception & control. Artif. Intell. 314: 103812 (2023) - [c8]Venkatraman Renganathan
, Joshua Pilipovsky, Panagiotis Tsiotras:
Distributionally Robust Covariance Steering with Optimal Risk Allocation. ACC 2023: 2607-2614 - [c7]Venkatraman Renganathan
, Andrea Iannelli, Anders Rantzer:
An Online Learning Analysis of Minimax Adaptive Control. CDC 2023: 1034-1039 - [c6]Cem Alptürk, Venkatraman Renganathan
:
Path Planning Using Wasserstein Distributionally Robust Deep Q-learning. ECC 2023: 1-8 - [c5]Kajsa Ekenberg, Venkatraman Renganathan
, Björn Olofsson:
Distributionally Robust RRT with Risk Allocation. ICRA 2023: 12693-12699 - [i15]Venkatraman Renganathan
, Andrea Iannelli, Anders Rantzer:
An Online Learning Analysis of Minimax Adaptive Control. CoRR abs/2307.07268 (2023) - [i14]Maik Pfefferkorn, Venkatraman Renganathan
, Rolf Findeisen:
Regret and Conservatism of Constrained Stochastic Model Predictive Control. CoRR abs/2309.12190 (2023) - [i13]Venkatraman Renganathan
, Anders Rantzer, Olle Kjellqvist:
Distributed Adaptive Control for Uncertain Networks. CoRR abs/2310.17364 (2023) - 2022
- [j3]Venkatraman Renganathan
, Navid Hashemi, Justin Ruths, Tyler H. Summers
:
Higher-Order Moment-Based Anomaly Detection. IEEE Control. Syst. Lett. 6: 211-216 (2022) - [j2]Venkatraman Renganathan
, Benjamin J. Gravell
, Justin Ruths
, Tyler H. Summers
:
Anomaly Detection Under Multiplicative Noise Model Uncertainty. IEEE Control. Syst. Lett. 6: 1873-1878 (2022) - [j1]Venkatraman Renganathan
, Kaveh Fathian
, Sleiman Safaoui
, Tyler H. Summers
:
Spoof Resilient Coordination in Distributed and Robust Robotic Networks. IEEE Trans. Control. Syst. Technol. 30(2): 803-810 (2022) - [i12]Venkatraman Renganathan, Sleiman Safaoui, Aadi Kothari, Benjamin Gravell, Iman Shames, Tyler H. Summers:
Risk Bounded Nonlinear Robot Motion Planning With Integrated Perception & Control. CoRR abs/2201.01483 (2022) - [i11]Venkatraman Renganathan, Angela Fontan, Karthik Ganapathy:
History Data Driven Distributed Consensus in Networks. CoRR abs/2202.09223 (2022) - [i10]Kajsa Ekenberg, Venkatraman Renganathan, Bjorn Olofsson:
Distributionally Robust RRT with Risk Allocation. CoRR abs/2209.08391 (2022) - [i9]Venkatraman Renganathan
, Joshua Pilipovsky, Panagiotis Tsiotras:
Distributionally Robust Covariance Steering with Optimal Risk Allocation. CoRR abs/2210.00050 (2022) - [i8]Venkatraman Renganathan
, Anders Rantzer, Olle Kjellqvist:
Distributed Implementation of Minimax Adaptive Controller For Finite Set of Linear Systems. CoRR abs/2210.00081 (2022) - [i7]Cem Alptürk, Venkatraman Renganathan
:
Path Planning Using Wassertein Distributionally Robust Deep Q-learning. CoRR abs/2211.02372 (2022) - [i6]Venkatraman Renganathan
, Dongjun Wu:
Regret Analysis for Risk-aware Linear Quadratic Control. CoRR abs/2212.00392 (2022) - 2021
- [c4]Sleiman Safaoui, Benjamin J. Gravell, Venkatraman Renganathan
, Tyler H. Summers:
Risk-Averse RRT* Planning with Nonlinear Steering and Tracking Controllers for Nonlinear Robotic Systems Under Uncertainty. IROS 2021: 3681-3688 - [i5]Sleiman Safaoui, Benjamin J. Gravell, Venkatraman Renganathan, Tyler H. Summers:
Risk-Averse RRT* Planning with Nonlinear Steering and Tracking Controllers for Nonlinear Robotic Systems Under Uncertainty. CoRR abs/2103.05572 (2021) - [i4]Venkatraman Renganathan, Benjamin J. Gravell, Justin Ruths, Tyler H. Summers:
Anomaly Detection Under Multiplicative Noise Model Uncertainty. CoRR abs/2103.15228 (2021) - 2020
- [c3]Venkatraman Renganathan
, Navid Hashemi, Justin Ruths, Tyler H. Summers:
Distributionally Robust Tuning of Anomaly Detectors in Cyber-Physical Systems with Stealthy Attacks. ACC 2020: 1247-1252 - [c2]Vignesh Raghuraman, Venkatraman Renganathan
, Tyler H. Summers, Justin P. Koeln:
Hierarchical MPC with Coordinating Terminal Costs. ACC 2020: 4126-4133 - [i3]Venkatraman Renganathan, Iman Shames, Tyler H. Summers:
Towards Integrated Perception and Motion Planning with Distributionally Robust Risk Constraints. CoRR abs/2002.02928 (2020) - [i2]Venkatraman Renganathan, Navid Hashemi, Justin Ruths, Tyler H. Summers:
Higher-Order Moment-Based Anomaly Detection. CoRR abs/2011.01522 (2020)
2010 – 2019
- 2019
- [i1]Venkatraman Renganathan, Navid Hashemi, Justin Ruths, Tyler H. Summers:
Distributionally Robust Tuning of Anomaly Detectors in Cyber-Physical Systems with Stealthy Attacks. CoRR abs/1909.12506 (2019) - 2017
- [c1]Venkatraman Renganathan
, Tyler H. Summers:
Spoof resilient coordination for distributed multi-robot systems. MRS 2017: 135-141
Coauthor Index
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