3 citations · 5 across the 3 of their papers we have counts for
3 papers
eess.SY2022★ 3 cited
Distributed State Estimation with Deep Neural Networks for Uncertain Nonlinear Systems under Event-Triggered Communication
Federico M. Zegers, Runhan Sun, Girish Chowdhary +1
Distributed state estimation is examined for a sensor network tasked with reconstructing a system's state through the use of a distributed and event-triggered observer. Each agent…
eess.SY2020
Adaptive Control of Time-Varying Parameter Systems with Asymptotic Tracking
Omkar Sudhir Patil, Runhan Sun, Shubhendu Bhasin +1
A continuous adaptive control design is developed for nonlinear dynamical systems with linearly parameterizable uncertainty involving time-varying uncertain parameters. The key fea…
cs.RO2019★ 2 cited
Adaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning
Yanlin Zhou, Fan Lu, George Pu +5
We propose a deep reinforcement learning (DRL) methodology for the tracking, obstacle avoidance, and formation control of nonholonomic robots. By separating vision-based control in…