Contact Dr Venkatraman Renganathan
Areas of expertise
- Mechatronics & Advanced Controls
Background
Dr Renganathan is a lecturer in the faculty of engineering and applied sciences and is associated with the Centre for Assured and Connected Autonomy led by Professor Weisi Guo.
Research opportunities
Venkat's research interests are:
Probabilistic Robust Control
Risk Bounded Motion Planning for Drones
Security of Cyber-physical Systems
Currently, he is investigating stochastic contract designs for the control of uncertain networked dynamical systems.
Clients
- QinetiQ Group PLC
Publications
Articles In Journals
- Renganathan V & Ghosh S. (2026). Probabilistic assume–guarantee contracts for islanded mission-critical power system operations. Electronics, 15(4)
- 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)
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