Publications (39)
A Data-Driven Aggressive Autonomous Racing Framework Utilizing Local Trajectory Planning with Velocity Prediction
Zhouheng Li, Bei Zhou, Cheng Hu +2
Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning
Runze Lin, Junghui Chen, Biao Huang +2
Spatio-Temporal Communication Compression in Distributed Prime-Dual Flows
Zihao Ren, Lei Wang, Deming Yuan +2
Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC
Guoqiang Wu, Cheng Hu, Wangjia Weng +4
GeoPro-VO: Dynamic Obstacle Avoidance with Geometric Projector Based on Velocity Obstacle
Jihao Huang, Xuemin Chi, Jun Zeng +2
Stability Analysis for Stochastic Hybrid Inclusions
Hongye Su, Dandan Zhang
Surrogate Empowered Sim2Real Transfer of Deep Reinforcement Learning for ORC Superheat Control
Runze Lin, Yangyang Luo, Xialai Wu +4
Chaotic Masking Protocol for Secure Communication and Attack Detection in Remote Estimation of Cyber-Physical Systems
Tao Chen, Andreu Cecilia, Daniele Astolfi +3
Vision-Augmented On-Track System Identification for Autonomous Racing via Attention-Based Priors and Iterative Neural Correction
Zhiping Wu, Cheng Hu, Yiqin Wang +2
Whole-body Dynamic Collision Avoidance with Time-varying Control Barrier Functions
Jihao Huang, Xuemin Chi, Zhitao Liu +1
Optimization-based Motion Planning for Autonomous Parking Considering Dynamic Obstacle: A Hierarchical Framework
Xuemin Chi, Zhitao Liu, Jihao Huang +2
Iterative Learning Control-Informed Reinforcement Learning for Batch Process Control
Runze Lin, Ziqi Zhuo, Junghui Chen +2
A Rapid Iterative Trajectory Planning Method for Automated Parking through Differential Flatness
Zhouheng Li, Lei Xie, Cheng Hu +1
Deep Domain Adversarial Adaptation for Photon-efficient Imaging
Yiwei Chen, Gongxin Yao, Yong Liu +3
Distributed Nonlinear Equality-Constrained Optimization via Feedback Linearization and Singular Perturbation
Zihao Ren, Lei Wang, Hongye Su +1
The paper proposes a distributed algorithm that solves nonconvex optimization problems with nonlinear equality constraints using feedback‑linearization and singular‑perturbation te…
Adaptive Learning-based Model Predictive Control Strategy for Drift Vehicles
Bei Zhou, Cheng Hu, Jun Zeng +4
Data-Driven Critic-Free Policy Iteration for Continuous-Time Linear Quadratic Regulation
Jiacheng Wu, Yang Zhu, Hongye Su
Dynamic fault detection and diagnosis of industrial alkaline water electrolyzer process with variational Bayesian dictionary learning
Qi Zhang, Lei Xie, Weihua Xu +1
Dynamic Collision Avoidance Using Velocity Obstacle-Based Control Barrier Functions
Jihao Huang, Jun Zeng, Xuemin Chi +3
Self-Optimizing Control of Continuous Processes Based on Reinforcement Learning
Ziqi Zhuo, Junghui Chen, Lei Xie +1
Attitude Control of Rigid Bodies: A Survey of Representations, Topological Obstructions, and Stabilization Techniques
Hongye Su, Dandan Zhang
Obstacle Avoidance for Unicycle-Modelled Mobile Robots with Time-varying Control Barrier Functions
Jihao Huang, Zhitao Liu, Jun Zeng +2
A Stochastic Hybrid Approach to Decentralized Networked Control: Stochastic Network Delays and Poisson Pulsing Attacks
Dandan Zhang, Xin Jin, Hongye Su
An Overtaking Trajectory Planning Framework Based on Spatio-temporal Topology and Reachable Set Analysis Ensuring Time Efficiency
Wule Mao, Zhouheng Li, Entao Sun +2
Velocity Obstacle for Polytopic Collision Avoidance for Distributed Multi-robot Systems
Jihao Huang, Jun Zeng, Xuemin Chi +3
Reinforcement Learning-Driven Plant-Wide Refinery Planning Using Model Decomposition
Zhouchang Li, Runze Lin, Hongye Su +1
Fast Path Planning for Autonomous Vehicle Parking with Safety-Guarantee using Hamilton-Jacobi Reachability
Xuemin Chi, Jun Zeng, Jihao Huang +2
Reduce Lap Time for Autonomous Racing with Curvature-Integrated MPCC Local Trajectory Planning Method
Zhouheng Li, Lei Xie, Cheng Hu +1
Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Overview and Perspectives
Runze Lin, Junghui Chen, Lei Xie +1
Dynamic fault detection and diagnosis for alkaline water electrolyzer with variational Bayesian Sparse principal component analysis
Qi Zhang, Weihua Xu, Lei Xie +1
Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control
Qi Zhang, Lei Wang, Weihua Xu +2
Distributed Least-Squares Optimization Solvers with Differential Privacy
Weijia Liu, Lei Wang, Fanghong Guo +2
A Learning-based Planning and Control Framework for Inertia Drift Vehicles
Bei Zhou, Zhouheng Li, Lei Xie +2
Search-Based Path Planning Algorithm for Autonomous Parking:Multi-Heuristic Hybrid A*
Jihao Huang, Zhitao Liu, Xuemin Chi +2
Three-Dimensional Sparse Random Mode Decomposition for Mode Disentangling with Crossover Instantaneous Frequencies
Chen Luo, Tao Chen, Lei Xie +1
Robust Spatiotemporal Motion Planning for Multi-Agent Autonomous Racing via Topological Gap Identification and Accelerated MPC
Mingyi Zhang, Cheng Hu, Yiqin Wang +3
MCTR: Midpoint Corrected Triangulation for Autonomous Racing via Digital Twin Simulation in CARLA
Junhao Ye, Cheng Hu, Yiqin Wang +6
Immersion and Invariance Stabilization of Nonlinear Systems: A Horizontal Contraction Approach
Lei Wang, Fulvio Forni, Romeo Ortega +1
Residual Koopman Model Predictive Control for Enhanced Vehicle Dynamics with Small On-Track Data Input
Yonghao Fu, Cheng Hu, Haokun Xiong +6