18 citations · 47 across the 12 of their papers we have counts for
14 papers
Dual-Channel Adaptive NMPC for Quadrotor under Instantaneous Impact and Payload Disturbances
Xinqi Chen, Xiuxian Li, Min Meng
Capturing target objects using the quadrotor has gained increasing popularity in recent years, but most studies focus on capturing lightweight objects. The instantaneous contact fo…
Social Optimization in Noncooperative Games under Central Regulation
Kaixin Du, Min Meng, Xiaoming Hu
Motivated by the increasing attention to overall social benefits in networked multi-agent systems, this paper investigates an optimization problem building on noncooperative games…
Large receptive field strategy and important feature extraction strategy in 3D object detection
Leichao Cui, Xiuxian Li, Min Meng +1
The enhancement of 3D object detection is pivotal for precise environmental perception and improved task execution capabilities in autonomous driving. LiDAR point clouds, offering…
Online Game with Time-Varying Coupled Inequality Constraints
Min Meng, Xiuxian Li, Yiguang Hong +2
In this paper, online game is studied, where at each time, a group of players aim at selfishly minimizing their own time-varying cost function simultaneously subject to time-varyin…
Linear Convergence of Distributed Aggregative Optimization with Coupled Inequality Constraints
Kaixin Du, Min Meng
This article investigates a distributed aggregative optimization problem subject to coupled affine inequality constraints, in which local objective functions depend not only on the…
A Generalized Multi-Modal Fusion Detection Framework
Leichao Cui, Xiuxian Li, Min Meng +1
LiDAR point clouds have become the most common data source in autonomous driving. However, due to the sparsity of point clouds, accurate and reliable detection cannot be achieved i…
Linear Last-Iterate Convergence for Continuous Games with Coupled Inequality Constraints
Min Meng, Xiuxian Li
In this paper, the generalized Nash equilibrium (GNE) seeking problem for continuous games with coupled affine inequality constraints is investigated in a partial-decision informat…
A Survey of Decision Making in Adversarial Games
Xiuxian Li, Min Meng, Yiguang Hong +1
Game theory has by now found numerous applications in various fields, including economics, industry, jurisprudence, and artificial intelligence, where each player only cares about…
Decentralized Nash Equilibria Learning for Online Game with Bandit Feedback
Min Meng, Xiuxian Li, Jie Chen
This paper studies distributed online bandit learning of generalized Nash equilibria for online game, where cost functions of all players and coupled constraints are time-varying.…
Composition and Application of Current Advanced Driving Assistance System: A Review
Xinran Li, Kuo-Yi Lin, Min Meng +4
Due to the growing awareness of driving safety and the development of sophisticated technologies, advanced driving assistance system (ADAS) has been equipped in more and more vehic…
Decentralized Online Learning for Noncooperative Games in Dynamic Environments
Min Meng, Xiuxian Li, Yiguang Hong +2
Decentralized online learning for seeking generalized Nash equilibrium (GNE) of noncooperative games in dynamic environments is studied in this paper. Each player aims at selfishly…
Aug-PDG: Linear Convergence of Convex Optimization with Inequality Constraints
Min Meng, Xiuxian Li
This paper investigates the convex optimization problem with general convex inequality constraints. To cope with this problem, a discrete-time algorithm, called augmented primal-du…
DOT and DOP: Linearly Convergent Algorithms for Finding Fixed Points of Multi-Agent Operators
Xiuxian Li, Min Meng, Lihua Xie
This paper investigates the distributed fixed point finding problem for a global operator over a directed and unbalanced multi-agent network, where the global operator is quasinone…
On the linear convergence of distributed Nash equilibrium seeking for multi-cluster games under partial-decision information
Min Meng, Xiuxian Li
This paper considers the distributed strategy design for Nash equilibrium (NE) seeking in multi-cluster games under a partial-decision information scenario. In the considered game,…