170 citations · 497 across the 22 of their papers we have counts for
23 papers
Data-driven Internal Model Control for Output Regulation
Wenjie Liu, Yifei Li, Jian Sun +4
Output regulation is a fundamental problem in control theory, extensively studied since the 1970s. Traditionally, research has primarily addressed scenarios where the system model…
Robust Offline Imitation Learning Through State-level Trajectory Stitching
Shuze Wang, Yunpeng Mei, Hongjie Cao +4
Imitation learning (IL) has proven effective for enabling robots to acquire visuomotor skills through expert demonstrations. However, traditional IL methods are limited by their re…
Time-optimal Flight in Cluttered Environments via Safe Reinforcement Learning
Wei Xiao, Zhaohan Feng, Ziyu Zhou +3
This paper addresses the problem of guiding a quadrotor through a predefined sequence of waypoints in cluttered environments, aiming to minimize the flight time while avoiding coll…
Learning Hybrid Policies for MPC with Application to Drone Flight in Unknown Dynamic Environments
Zhaohan Feng, Jie Chen, Wei Xiao +3
In recent years, drones have found increased applications in a wide array of real-world tasks. Model predictive control (MPC) has emerged as a practical method for drone flight con…
Robust Control of Unknown Switched Linear Systems from Noisy Data
Wenjie Liu, Yifei Li, Jian Sun +2
This paper investigates the problem of data-driven stabilization for linear discrete-time switched systems with unknown switching dynamics. In the absence of noise, a data-based st…
Self-triggered Consensus Control of Multi-agent Systems from Data
Yifei Li, Xin Wang, Jian Sun +2
This paper considers self-triggered consensus control of unknown linear multi-agent systems (MASs). Self-triggering mechanisms (STMs) are widely used in MASs, thanks to their advan…
Data-driven Polytopic Output Synchronization of Heterogeneous Multi-agent Systems from Noisy Data
Yifei Li, Wenjie Liu, Jian Sun +3
This paper proposes a novel approach to addressing the output synchronization problem in unknown heterogeneous multi-agent systems (MASs) using noisy data. Unlike existing studies…
Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning
Runqing Wang, Gang Wang, Jian Sun +2
Flexible manufacturing has given rise to complex scheduling problems such as the flexible job shop scheduling problem (FJSP). In FJSP, operations can be processed on multiple machi…
Efficient and Robust Time-Optimal Trajectory Planning and Control for Agile Quadrotor Flight
Ziyu Zhou, Gang Wang, Jian Sun +2
Agile quadrotor flight relies on rapidly planning and accurately tracking time-optimal trajectories, a technology critical to their application in the wild. However, the computatio…
Learning Robust Data-based LQG Controllers from Noisy Data
Wenjie Liu, Jian Sun, Gang Wang +2
This paper addresses the joint state estimation and control problems for unknown linear time-invariant systems subject to both process and measurement noise. The aim is to redesign…
Self-triggered Resilient Stabilization of Linear Systems with Quantized Output
Wenjie Liu, Masashi Wakaiki, Jian Sun +2
This paper studies the problem of stabilizing a self-triggered control system with quantized output. Employing a standard observer-based state feedback control law, a self-triggeri…
Data-Driven Control of Distributed Event-Triggered Network Systems
Xin Wang, Jian Sun, Gang Wang +2
The present paper deals with data-driven event-triggered control of a class of unknown discrete-time interconnected systems (a.k.a. network systems). To this end, we start by putti…
Distributed Momentum-based Frank-Wolfe Algorithm for Stochastic Optimization
Jie Hou, Xianlin Zeng, Gang Wang +2
This paper considers distributed stochastic optimization, in which a number of agents cooperate to optimize a global objective function through local computations and information e…
Event-triggered Consensus Control of Heterogeneous Multi-agent Systems: Model- and Data-based Analysis
Xin Wang, Jian Sun, Gang Wang +1
This article deals with model- and data-based consensus control of heterogenous leader-following multi-agent systems (MASs) under an event-triggering transmission scheme. A dynamic…
Data-driven Self-triggered Control via Trajectory Prediction
Wenjie Liu, Jian Sun, Gang Wang +2
Self-triggered control, a well-documented technique for reducing the communication overhead while ensuring desired system performance, is gaining increasing popularity. However, ex…
Model-Based and Data-Driven Control of Event- and Self-Triggered Discrete-Time LTI Systems
Xin Wang, Julian Berberich, Jian Sun +3
The present paper considers the model-based and data-driven control of unknown linear time-invariant discrete-time systems under event-triggering and self-triggering transmission s…
Mobile Energy Transfer in Internet of Things
Qingqing Zhang, Gang Wang, Jie Chen +2
Internet of things (IoT) is powering up smart cities by connecting all kinds of electronic devices. The power supply problem of IoT devices constitutes a major challenge in current…
Adaptive Distributed Laser Charging for Efficient Wireless Power Transfer
Qingqing Zhang, Xiaojun Shi, Qingwen Liu +3
Distributed laser charging (DLC) is a wireless power transfer technology for mobile electronics. Similar to traditional wireless charging systems, the DLC system can only provide c…
Compressive Phase Retrieval via Reweighted Amplitude Flow
Liang Zhang, Gang Wang, Georgios B. Giannakis +1
The problem of reconstructing a sparse signal vector from magnitude-only measurements (a.k.a., compressive phase retrieval), emerges naturally in diverse applications, but it is NP…
Robust and Scalable Power System State Estimation via Composite Optimization
Gang Wang, Georgios B. Giannakis, Jie Chen
In today's cyber-enabled smart grids, high penetration of uncertain renewables, purposeful manipulation of meter readings, and the need for wide-area situational awareness, call fo…
Solving Almost all Systems of Random Quadratic Equations
Gang Wang, Georgios B. Giannakis, Yousef Saad +1
This paper deals with finding an -dimensional solution to a system of quadratic equations of the form for , which is also known…
Sparse Phase Retrieval via Truncated Amplitude Flow
Gang Wang, Liang Zhang, Georgios B. Giannakis +2
This paper develops a novel algorithm, termed \emph{SPARse Truncated Amplitude flow} (SPARTA), to reconstruct a sparse signal from a small number of magnitude-only measurements. It…
Solving Large-scale Systems of Random Quadratic Equations via Stochastic Truncated Amplitude Flow
Gang Wang, Georgios B. Giannakis, Jie Chen
A novel approach termed \emph{stochastic truncated amplitude flow} (STAF) is developed to reconstruct an unknown -dimensional real-/complex-valued signal from `phas…