593 citations · 1.9k across the 44 of their papers we have counts for
9 papers · 1 filter
Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems
Yang Zheng, Luca Furieri, Maryam Kamgarpour +1
This paper studies a class of partially observed Linear Quadratic Gaussian (LQG) problems with unknown dynamics. We establish an end-to-end sample complexity bound on learning a ro…
Cooperative Formation of Autonomous Vehicles in Mixed Traffic Flow: Beyond Platooning
Keqiang Li, Jiawei Wang, Yang Zheng
Cooperative formation and control of autonomous vehicles (AVs) promise increased efficiency and safety on public roads. In mixed traffic flow consisting of AVs and human-driven veh…
Non-asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories
Yang Zheng, Na Li
This paper considers the problem of linear time-invariant (LTI) system identification using input/output data. Recent work has provided non-asymptotic results on partially observed…
Impact of Disturbances on Mixed Traffic Control with Autonomous Vehicles
Ross Drummond, Yang Zheng
This paper investigates the impact of disturbances on controlling an autonomous vehicle to smooth mixed traffic flow in a ring road setup. By exploiting the ring structure of this…
Sum-of-squares chordal decomposition of polynomial matrix inequalities
Yang Zheng, Giovanni Fantuzzi
We prove decomposition theorems for sparse positive (semi)definite polynomial matrices that can be viewed as sparsity-exploiting versions of the Hilbert--Artin, Reznick, Putinar, a…
BI-MAML: Balanced Incremental Approach for Meta Learning
Yang Zheng, Jinlin Xiang, Kun Su +1
We present a novel Balanced Incremental Model Agnostic Meta Learning system (BI-MAML) for learning multiple tasks. Our method implements a meta-update rule to incrementally adapt i…
Optimal Formation of Autonomous Vehicles in Mixed Traffic Flow
Keqiang Li, Jiawei Wang, Yang Zheng
Platooning of multiple autonomous vehicles has attracted significant attention in both academia and industry. Despite its great potential, platooning is not the only choice for the…
R-FORCE: Robust Learning for Random Recurrent Neural Networks
Yang Zheng, Eli Shlizerman
Random Recurrent Neural Networks (RRNN) are the simplest recurrent networks to model and extract features from sequential data. The simplicity however comes with a price; RRNN are…
Controllability Analysis and Optimal Control of Mixed Traffic Flow with Human-driven and Autonomous Vehicles
Jiawei Wang, Yang Zheng, Qing Xu +2
Connected and automated vehicles (CAVs) have a great potential to improve traffic efficiency in mixed traffic systems, which has been demonstrated by multiple numerical simulations…