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Venkatraman Renganathan
Venkatraman Renganathan
Post-doc in Automatic Control, Lund University, Sweden
Verified email at control.lth.se - Homepage
Title
Cited by
Cited by
Year
Spoof resilient coordination for distributed multi-robot systems
V Renganathan, T Summers
2017 International Symposium on Multi-Robot and Multi-Agent Systems (MRS …, 2017
402017
Towards integrated perception and motion planning with distributionally robust risk constraints
V Renganathan, I Shames, TH Summers
IFAC-PapersOnLine 53 (2), 15530-15536, 2020
262020
Risk-averse RRT* planning with nonlinear steering and tracking controllers for nonlinear robotic systems under uncertainty
S Safaoui, BJ Gravell, V Renganathan, TH Summers
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
202021
Higher-order moment-based anomaly detection
V Renganathan, N Hashemi, J Ruths, TH Summers
IEEE Control Systems Letters 6, 211-216, 2021
142021
Distributionally Robust Tuning of Anomaly Detectors in Cyber-Physical Systems with Stealthy Attacks**
V Renganathan, N Hashemi, J Ruths, TH Summers
2020 American Control Conference (ACC), 1247-1252, 2020
132020
Risk bounded nonlinear robot motion planning with integrated perception & control
V Renganathan, S Safaoui, A Kothari, B Gravell, I Shames, T Summers
Artificial Intelligence 314, 103812, 2023
82023
Spoof resilient coordination in distributed and robust robotic networks
V Renganathan, K Fathian, S Safaoui, T Summers
IEEE Transactions on Control Systems Technology 30 (2), 803-810, 2021
82021
Hierarchical MPC with coordinating terminal costs
V Raghuraman, V Renganathan, TH Summers, JP Koeln
2020 American Control Conference (ACC), 4126-4133, 2020
82020
Distributionally robust covariance steering with optimal risk allocation
V Renganathan, J Pilipovsky, P Tsiotras
2023 American Control Conference (ACC), 2607-2614, 2023
72023
Anomaly detection under multiplicative noise model uncertainty
V Renganathan, BJ Gravell, J Ruths, TH Summers
IEEE Control Systems Letters 6, 1873-1878, 2021
52021
Kill zone analysis for a bank-to-turn missile-target engagement
V Renganathan
Arizona State University, 2016
42016
An online learning analysis of minimax adaptive control
V Renganathan, A Iannelli, A Rantzer
2023 62nd IEEE Conference on Decision and Control (CDC), 1034-1039, 2023
22023
Distributionally robust RRT with risk allocation
K Ekenberg, V Renganathan, B Olofsson
2023 IEEE International Conference on Robotics and Automation (ICRA), 12693 …, 2023
22023
Distributed implementation of minimax adaptive controller for finite set of linear systems
V Renganathan, A Rantzer, O Kjellqvist
arXiv preprint arXiv:2210.00081, 2022
22022
Distributed Adaptive Control for Uncertain Networks
V Renganathan, A Rantzer, O Kjellqvist
arXiv preprint arXiv:2310.17364, 2023
2023
Regret and Conservatism of Constrained Stochastic Model Predictive Control
M Pfefferkorn, V Renganathan, R Findeisen
arXiv preprint arXiv:2309.12190, 2023
2023
Regret and Conservatism of Distributionally Robust Constrained Stochastic Model Predictive Control
M Pfefferkorn, V Renganathan, R Findeisen
arXiv e-prints, arXiv: 2309.12190, 2023
2023
Path Planning Using Wasserstein Distributionally Robust Deep Q-learning
C Alptürk, V Renganathan
2023 European Control Conference (ECC), 1-8, 2023
2023
Input and state constrained inverse optimal control with application to power networks
TK Jouini, Z Sun, V Renganathan, V Hagenmeyer
IFAC-PapersOnLine 56 (2), 5451-5456, 2023
2023
Regret Analysis for Risk-aware Linear Quadratic Control
V Renganathan, D Wu
arXiv preprint arXiv:2212.00392, 2022
2022
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