106 citations · 155 across the 9 of their papers we have counts for
9 papers
The bottleneck and ceiling effects in quantized tracking control of heterogeneous multi-agent systems under DoS attacks
Shuai Feng, Maopeng Ran, Baoyong Zhang +2
In this paper, we investigate tracking control of heterogeneous multi-agent systems under Denial-of-Service (DoS) attacks and state quantization. Dynamic quantized mechanisms are d…
Dynamic quantized consensus under DoS attacks: Towards a tight zooming-out factor
Shuai Feng, Maopeng Ran, Hideaki Ishii +1
This paper deals with dynamic quantized consensus of dynamical agents in a general form under packet losses induced by Denial-of-Service (DoS) attacks. The communication channel ha…
Quantized Consensus under Data-Rate Constraints and DoS Attacks: A Zooming-In and Holding Approach
Maopeng Ran, Shuai Feng, Juncheng Li +1
This paper is concerned with the quantized consensus problem for uncertain nonlinear multi-agent systems under data-rate constraints and Denial-of-Service (DoS) attacks. The agents…
Design and Experimental Evaluation of a Hierarchical Controller for an Autonomous Ground Vehicle with Large Uncertainties
Juncheng Li, Maopeng Ran, Lihua Xie
Autonomous ground vehicles (AGVs) are receiving increasing attention, and the motion planning and control problem for these vehicles has become a hot research topic. In real applic…
Practical Output Consensus of Nonlinear Heterogeneous Multi-Agent Systems with Limited Data Rate
Maopeng Ran, Lihua Xie
This paper investigates the consensus problem for nonlinear heterogeneous multi-agent systems with limited communication data rate. Each agent is modeled by a higher-order strict-f…
Efficient Trajectory Planning for Multiple Non-holonomic Mobile Robots via Prioritized Trajectory Optimization
Juncheng Li, Maopeng Ran, Lihua Xie
In this paper, we present a novel approach to efficiently generate collision-free optimal trajectories for multiple non-holonomic mobile robots in obstacle-rich environments. Our a…
Adaptive Observation-Based Efficient Reinforcement Learning for Uncertain Systems
Maopeng Ran, Lihua Xie
This paper develops an adaptive observation-based efficient reinforcement learning (RL) approach for systems with uncertain drift dynamics. A novel concurrent learning adaptive ext…
Reinforcement Learning-based Disturbance Rejection Control for Uncertain Nonlinear Systems
Maopeng Ran, Juncheng Li, Lihua Xie
This paper investigates the reinforcement learning (RL) based disturbance rejection control for uncertain nonlinear systems having non-simple nominal models. An extended state obse…
Fast Loop Closure Detection via Binary Content
Han Wang, Juncheng Li, Maopeng Ran +1
Loop closure detection plays an important role in reducing localization drift in Simultaneous Localization And Mapping (SLAM). It aims to find repetitive scenes from historical dat…