Data-driven Control & Planning for Uncertain Complex Systems
The University of Texas at Dallas
2022
Anomaly Detection Under Multiplicative Noise Model Uncertainty
IEEE Control Systems Letters (L-CSS) / American Control Conference
2022
Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise
Proceedings of Machine Learning Research (PMLR) / Learning for Dynamics and Control (L4DC)
2022
Finite-Sample Analysis of Linear System Identification under Multiplicative Noise from Multiple Trajectory Data
Automatica
2021
Policy Iteration for Linear Quadratic Games With Stochastic Parameters
IEEE Control Systems Letters (L-CSS) / 2020 Conference on Decision and Control (CDC)
2021
Centralized Collision-free Polynomial Trajectories and Goal Assignment for Aerial Swarms
IFAC Control Engineering Practice (CEP)
2021
Approximate Midpoint Policy Iteration for Linear Quadratic Control
Proceedings of Machine Learning Research (PMLR) / Learning for Dynamics and Control (L4DC)
2021
Risk-Averse RRT* Planning with Nonlinear Steering and Tracking Controllers for Nonlinear Robotic Systems Under Uncertainty
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2021
Stochastic Stability via Robustness of Linear Systems
Conference on Decision and Control (CDC)
2021
Learning Robust Control for LQR systems with Multiplicative Noise via Policy Gradient
IEEE Transactions on Automatic Control (TAC)
2020
Robust Control Design for Linear Systems via Multiplicative Noise
IFAC World Congress
2020
Linear System Identification under Multiplicative Noise from Multiple Trajectory Data
American Control Conference (ACC)
2020
Robust Learning-Based Control via Bootstrapped Multiplicative Noise
Proceedings of Machine Learning Research (PMLR) / Learning for Dynamics and Control (L4DC)
2020
Sparse Optimal Control of Networks with Multiplicative Noise via Policy Gradient
IFAC Workshop on Distributed Estimation and Control in Networked Systems (NECSYS)
2019
Concurrent Goal Assignment and Collision-Free Trajectory Generation for Multiple Aerial Robots
IFAC Networked & Autonomous Air & Space Systems (NAASS)
2018