593 citations · 1.9k across the 44 of their papers we have counts for
46 papers
An Overview and Comparison of Spectral Bundle Methods for Primal and Dual Semidefinite Programs
Feng-Yi Liao, Lijun Ding, Yang Zheng
The spectral bundle method developed by Helmberg and Rendl is well-established for solving large-scale semidefinite programs (SDPs) in the dual form, especially when the SDPs admit…
Predicting Strategic Energy Storage Behaviors
Yuexin Bian, Ningkun Zheng, Yang Zheng +2
Energy storage are strategic participants in electricity markets to arbitrage price differences. Future power system operators must understand and predict strategic storage arbitra…
SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies
Fan Zhou, Chen Pan, Lintao Ma +9
Multivariate time series forecasting with hierarchical structure is widely used in real-world applications, e.g., sales predictions for the geographical hierarchy formed by cities,…
End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation
Shiyu Wang, Fan Zhou, Yinbo Sun +3
Multivariate time series forecasting with hierarchical structure is pervasive in real-world applications, demanding not only predicting each level of the hierarchy, but also reconc…
Dimension Reduction for Efficient Data-Enabled Predictive Control
Kaixiang Zhang, Yang Zheng, Chao Shang +1
In this letter, we propose a simple yet effective singular value decomposition (SVD) based strategy to reduce the optimization problem dimension in data-enabled predictive control…
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud
Siqiao Xue, Chao Qu, Xiaoming Shi +11
Predictive autoscaling (autoscaling with workload forecasting) is an important mechanism that supports autonomous adjustment of computing resources in accordance with fluctuating w…
Iterative Inner/outer Approximations for Scalable Semidefinite Programs using Block Factor-width-two Matrices
Feng-Yi Liao, Yang Zheng
In this paper, we propose iterative inner/outer approximations based on a recent notion of block factor-width-two matrices for solving semidefinite programs (SDPs). Our inner/outer…
Convex Parameterization of Stabilizing Controllers and its LMI-based Computation via Filtering
Mauricio C. de Oliveira, Yang Zheng
Various new implicit parameterizations for stabilizing controllers that allow one to impose structural constraints on the controller have been proposed lately. They are convex but…
Connectivity of the Feasible and Sublevel Sets of Dynamic Output Feedback Control with Robustness Constraints
Bin Hu, Yang Zheng
This paper considers the optimization landscape of linear dynamic output feedback control with robustness constraints. We consider the feasible set of all the…
Chordal and factor-width decompositions for scalable semidefinite and polynomial optimization
Yang Zheng, Giovanni Fantuzzi, Antonis Papachristodoulou
Chordal and factor-width decomposition methods for semidefinite programming and polynomial optimization have recently enabled the analysis and control of large-scale linear systems…
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control
Yang Zheng, Yujie Tang, Na Li
This paper revisits the classical Linear Quadratic Gaussian (LQG) control from a modern optimization perspective. We analyze two aspects of the optimization landscape of the LQG pr…
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…
Learning the Globally Optimal Distributed LQ Regulator
Luca Furieri, Yang Zheng, Maryam Kamgarpour
We study model-free learning methods for the output-feedback Linear Quadratic (LQ) control problem in finite-horizon subject to subspace constraints on the control policy. Subspace…
Decomposed Structured Subsets for Semidefinite and Sum-of-Squares Optimization
Jared Miller, Yang Zheng, Mario Sznaier +1
Semidefinite programs (SDPs) are standard convex problems that are frequently found in control and optimization applications. Interior-point methods can solve SDPs in polynomial ti…
On the Existence of Block-Diagonal Solutions to Lyapunov and Riccati Inequalities
Aivar Sootla, Yang Zheng, Antonis Papachristodoulou
In this paper, we describe sufficient conditions when block-diagonal solutions to Lyapunov and Riccati inequalities exist. In order to derive our results, we…
System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation
Yang Zheng, Luca Furieri, Maryam Kamgarpour +1
It is known that the set of internally stabilizing controller is non-convex, but it admits convex characterizations using certain closed-loop maps: a cl…