10 citations · 18 across the 5 of their papers we have counts for
5 papers
Receding Horizon Motion Planning for Multi-Agent Systems: A Velocity Obstacle Based Probabilistic Method
Xiaoxue Zhang, Jun Ma, Zilong Cheng +2
In this paper, a novel and innovative methodology for feasible motion planning in the multi-agent system is developed. On the basis of velocity obstacles characteristics, the chanc…
Semi-Definite Relaxation Based ADMM for Cooperative Planning and Control of Connected Autonomous Vehicles
Xiaoxue Zhang, Zilong Cheng, Jun Ma +3
This paper investigates the cooperative planning and control problem for multiple connected autonomous vehicles (CAVs) in different scenarios. In the existing literature, most of t…
Improved Hierarchical ADMM for Nonconvex Cooperative Distributed Model Predictive Control
Xiaoxue Zhang, Jun Ma, Zilong Cheng +3
Distributed optimization is often widely attempted and innovated as an attractive and preferred methodology to solve large-scale problems effectively in a localized and coordinated…
Trajectory Generation by Chance Constrained Nonlinear MPC with Probabilistic Prediction
Xiaoxue Zhang, Jun Ma, Zilong Cheng +3
Continued great efforts have been dedicated towards high-quality trajectory generation based on optimization methods, however, most of them do not suitably and effectively consider…
Enhanced Predictive Ratio Control of Interacting Systems
Minh Hoang-Tuan Nguyen, Kok Kiong Tan, Sunan Huang
Ratio control for two interacting processes is proposed with a PID feedforward design based on model predictive control (MPC) scheme. At each sampling instant, the MPC control acti…