25 citations · 49 across the 16 of their papers we have counts for
17 papers
Distributed Non-Uniform Scaling Control of Multi-Agent Formation with Dynamic Agent Joining
Tao He, Gangshan Jing
Non-uniform scaling control of formation enables multi-agent systems to adjust their shape by scaling with different ratios along different coordinate axes, offering enhanced flexi…
Node bipartition for rigidity and localization of networks with heterogeneous sensing
Yongjie Liu, Gangshan Jing, Long Wang
Graph rigidity theory is an important tool for examining the solvability of sensor network localization (SNL) problems, and ensuring global convergence of localization algorithms.…
Signed Angle Rigid Graphs for Network Localization and Formation Control
Jinpeng Huang, Gangshan Jing
Graph rigidity theory studies the capability of a graph embedded in the Euclidean space to constrain its global geometric shape via local constraints among nodes and edges, and has…
Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning
Jianglin Ding, Jingcheng Tang, Gangshan Jing
Action-dependent individual policies, which incorporate both environmental states and the actions of other agents in decision-making, have emerged as a promising paradigm for achie…
Angle-Constrained Formation Control under Directed Non-Triangulated Sensing Graphs (Extended Version)
Kun Li, Zhixi Shen, Gangshan Jing +1
Angle-constrained formation control has attracted much attention from control community due to the advantage that inter-edge angles are invariant under uniform translations, rotati…
Distributed Multi-Agent Reinforcement Learning Based on Graph-Induced Local Value Functions
Gangshan Jing, He Bai, Jemin George +2
Achieving distributed reinforcement learning (RL) for large-scale cooperative multi-agent systems (MASs) is challenging because: (i) each agent has access to only limited informati…
Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph
Gangshan Jing, He Bai, Jemin George +2
Existing distributed cooperative multi-agent reinforcement learning (MARL) frameworks usually assume undirected coordination graphs and communication graphs while estimating a glob…
Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent
Gangshan Jing, He Bai, Jemin George +2
Recently introduced distributed zeroth-order optimization (ZOO) algorithms have shown their utility in distributed reinforcement learning (RL). Unfortunately, in the gradient estim…
Learning Distributed Stabilizing Controllers for Multi-Agent Systems
Gangshan Jing, He Bai, Jemin George +2
We address the problem of model-free distributed stabilization of heterogeneous multi-agent systems using reinforcement learning (RL). Two algorithms are developed. The first algor…
Decomposability and Parallel Computation of Multi-Agent LQR
Gangshan Jing, He Bai, Jemin George +1
Individual agents in a multi-agent system (MAS) may have decoupled open-loop dynamics, but a cooperative control objective usually results in coupled closed-loop dynamics thereby m…
Model-Free Optimal Control of Linear Multi-Agent Systems via Decomposition and Hierarchical Approximation
Gangshan Jing, He Bai, Jemin George +1
Designing the optimal linear quadratic regulator (LQR) for a large-scale multi-agent system (MAS) is time-consuming since it involves solving a large-size matrix Riccati equation.…
Angle-Based Sensor Network Localization
Gangshan Jing, Changhuang Wan, Ran Dai
This paper studies angle-based sensor network localization (ASNL) in a plane, which is to determine locations of all sensors in a sensor network, given locations of partial sensors…
Weak Rigidity Theory and its Application to Multi-agent Formation Stabilization
Gangshan Jing, Guofeng Zhang, Heung Wing Joseph Lee +1
This paper introduces the notion of weak rigidity to characterize a framework by pairwise inner products of inter-agent displacements. Compared to distance-based rigidity, weak rig…
Angle-based Shape Determination Theory of Planar Graphs with Application to Formation Stabilization
Gangshan Jing, Guofeng Zhang, Heung Wing Joseph Lee +1
This paper presents an angle-based approach for distributed formation shape stabilization of multi-agent systems in the plane. We develop an angle rigidity theory to study whether…
Distributed Algorithms for Solving a Class of Convex Feasibility Problems
Kaihong Lu, Gangshan Jing, Long Wang
In this paper, a class of convex feasibility problems (CFPs) are studied for multi-agent systems through local interactions. The objective is to search a feasible solution to the c…
Distributed algorithms for solving convex inequalities
Kaihong Lu, Gangshan Jing, Long Wang
In this paper, a distributed subgradient-based algorithm is proposed for continuous-time multi-agent systems to search a feasible solution to convex inequalities. The algorithm inv…
Consensus of Multi-agent Systems Under State-dependent Information Transmission
Gangshan Jing, Yuanshi Zheng, Long Wang
In this paper, we study the consensus problem for continuous-time and discrete-time multi-agent systems in state-dependent switching networks. In each case, we first consider the n…