Contact Dr Venkatraman Renganathan
Areas of expertise
- Autonomous Systems
- Mechatronics & Advanced Controls
Background
I am a lecturer in the faculty of engineering and applied sciences. I am associated with the centre for assured and connected autonomy led by Prof. Weisi Guo.
Research opportunities
My brief research interests are:
1. Probabilistic Robust Control
2. Risk Bounded Motion Planning for Drones
3. Security of Cyber-physical Systems
Currently, I am investigating stochastic contract designs for the control of uncertain networked dynamical systems.
Clients
- QinetiQ Group PLC
Publications
Articles In Journals
- Renganathan V, Safaoui S, Kothari A, Gravell B, Shames I, .... (2023). Risk bounded nonlinear robot motion planning with integrated perception & control. Artificial Intelligence, 314
- Jouini TK, Sun Z, Renganathan V & Hagenmeyer V. (2023). Input and state constrained inverse optimal control with application to power networks. IFAC-PapersOnLine, 56(2)
- Renganathan V, Fathian K, Safaoui S & Summers T. (2022). Spoof Resilient Coordination in Distributed and Robust Robotic Networks. IEEE Transactions on Control Systems Technology, 30(2)
- Renganathan V, Gravell BJ, Ruths J & Summers TH. (2022). Anomaly Detection Under Multiplicative Noise Model Uncertainty. IEEE Control Systems Letters, 6
- Renganathan V, Hashemi N, Ruths J & Summers TH. (2022). Higher-Order Moment-Based Anomaly Detection. IEEE Control Systems Letters, 6
- Renganathan V, Shames I & Summers TH. (2020). Towards Integrated Perception and Motion Planning with Distributionally Robust Risk Constraints. IFAC-PapersOnLine, 53(2)
- Renganathan V & Ghosh S. Probabilistic Assume–Guarantee Contracts for Islanded Mission-Critical Power System Operations. Electronics, 15(4)
Conference Papers
- Pfefferkorn M, Renganathan V & Findeisen R. (2024). Regret and Conservatism of Distributionally Robust Constrained Stochastic Model Predictive Control
- Renganathan V, Rantzer A & Kjellqvist O. (2024). Distributed Adaptive Control For Uncertain Networks
- Nyström A, Renganathan V & Cantoni M. (2024). Stereographic projection of probabilistic frequency-domain uncertainty
- Ekenberg K, Renganathan V & Olofsson B. (2023). Distributionally Robust RRT with Risk Allocation
- Renganathan V, Iannelli A & Rantzer A. (2023). An Online Learning Analysis of Minimax Adaptive Control
- Renganathan V, Pilipovsky J & Tsiotras P. (2023). Distributionally Robust Covariance Steering with Optimal Risk Allocation
- Alptürk C & Renganathan V. (2023). Path Planning Using Wasserstein Distributionally Robust Deep Q-learning
- Cervin A, Renganathan V, Rantzer A, Grönqvist J, Rosa P, .... (2023). Learning-based Control and Estimation for Attitude Regulation of a Reusable Launcher for Landing Scenario
- Safaoui S, Gravell BJ, Renganathan V & Summers TH. (2021). Risk-Averse RRT* Planning with Nonlinear Steering and Tracking Controllers for Nonlinear Robotic Systems Under Uncertainty
- Renganathan V, Hashemi N, Ruths J & Summers TH. (2020). Distributionally Robust Tuning of Anomaly Detectors in Cyber-Physical Systems with Stealthy Attacks
- Raghuraman V, Renganathan V, Summers TH & Koeln JP. (2020). Hierarchical MPC with Coordinating Terminal Costs
- Renganathan V & Summers T. (2017). Spoof resilient coordination for distributed multi-robot systems