Benjamin Gravell

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 20

Top Topics

Multiplicative Noise

Image Denoising

Top Venues

IEEE Control. Syst. Lett.

Publications

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 (2023)
Benjamin Gravell, Matilde Gargiani, John Lygeros, Tyler H. Summers
Policy Iteration for Multiplicative Noise Output Feedback Control. CDC (2022)
Benjamin Gravell, Iman Shames, Tyler H. Summers
Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise. CoRR (2022)
Benjamin Gravell, Iman Shames, Tyler H. Summers
Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise. L4DC (2022)
Benjamin Gravell, Matilde Gargiani, John Lygeros, Tyler H. Summers
Policy Iteration for Multiplicative Noise Output Feedback Control. CoRR (2022)
Venkatraman Renganathan, Sleiman Safaoui, Aadi Kothari, Benjamin Gravell, Iman Shames, Tyler H. Summers
Risk Bounded Nonlinear Robot Motion Planning With Integrated Perception & Control. CoRR (2022)
Yu Xing, Benjamin Gravell, Xingkang He, Karl Henrik Johansson, Tyler H. Summers
Identification of linear systems with multiplicative noise from multiple trajectory data. Autom. 144 (2022)
Benjamin Gravell, Tyler H. Summers
Stochastic Stability via Robustness of Linear Systems. CDC (2021)
Benjamin Gravell, Iman Shames, Tyler H. Summers
Approximate Midpoint Policy Iteration for Linear Quadratic Control. L4DC (2021)
Benjamin Gravell, Karthik Ganapathy, Tyler H. Summers
Policy Iteration for Linear Quadratic Games With Stochastic Parameters. IEEE Control. Syst. Lett. 5 (1) (2021)
Benjamin Gravell, Peyman Mohajerin Esfahani, Tyler H. Summers
Learning Optimal Controllers for Linear Systems With Multiplicative Noise via Policy Gradient. IEEE Trans. Autom. Control. 66 (11) (2021)
Yu Xing, Benjamin Gravell, Xingkang He, Karl Henrik Johansson, Tyler H. Summers
Identification of Linear Systems with Multiplicative Noise from Multiple Trajectory Data. CoRR (2021)
Benjamin Gravell, Tyler H. Summers
Centralized Collision-free Polynomial Trajectories and Goal Assignment for Aerial Swarms. CoRR (2021)
Benjamin Gravell, Iman Shames, Tyler H. Summers
Approximate Midpoint Policy Iteration for Linear Quadratic Control. CoRR (2020)
Benjamin Gravell, Tyler H. Summers
Robust Learning-Based Control via Bootstrapped Multiplicative Noise. CoRR (2020)
Yu Xing, Benjamin Gravell, Xingkang He, Karl Henrik Johansson, Tyler H. Summers
Linear System Identification Under Multiplicative Noise from Multiple Trajectory Data. ACC (2020)
Benjamin Gravell, Tyler H. Summers
Robust Learning-Based Control via Bootstrapped Multiplicative Noise. L4DC (2020)
Yu Xing, Benjamin Gravell, Xingkang He, Karl Henrik Johansson, Tyler H. Summers
Linear System Identification under Multiplicative Noise from Multiple Trajectory Data. CoRR (2020)
Benjamin Gravell, Yi Guo, Tyler H. Summers
Sparse optimal control of networks with multiplicative noise via policy gradient. CoRR (2019)
Benjamin Gravell, Peyman Mohajerin Esfahani, Tyler H. Summers
Learning robust control for LQR systems with multiplicative noise via policy gradient. CoRR (2019)