activity
20152025
most citedMultiple noncooperative targets encirclement by relative distance-based positioning and neural antisynchronization control

37 citations · 98 across the 28 of their papers we have counts for

collaborators

28 papers

cs.RO2025

A Centralized Planning and Distributed Execution Method for Shape Filling with Homogeneous Mobile Robots

Shuqing Liu, Rong Su, Karl H. Johansson

The pattern formation task is commonly seen in a multi-robot system. In this paper, we study the problem of forming complex shapes with functionally limited mobile robots, which ha…

eess.SY2025★ 1 cited

Collaborative design of fault diagnosis and fault tolerance control under nested signal temporal logic specifications

Penghong Lu, Gang Chen, Rong Su

Signal Temporal Logic (STL) specifications play a crucial role in defining complex temporal properties and behaviors in safety-critical cyber-physical systems (CPS). However, fault…

cs.RO2024★ 37 cited

Multiple noncooperative targets encirclement by relative distance-based positioning and neural antisynchronization control

Fen Liu, Shenghai Yuan, Wei Meng +2

From prehistoric encirclement for hunting to GPS orbiting the earth for positioning, target encirclement has numerous real world applications. However, encircling multiple non-coop…

cs.FL2021★ 2 cited

A Topological Approach for Computing Supremal Sublanguages for Some Language Equations in Supervisory Control Theory

Liyong Lin, Rong Su

In this paper, we shall present a topological approach for the computation of some supremal sublanguages, often specified by language equations, which arise from the study of the s…

eess.SY2021

Nash equilibrium of multi-agent graphical game with a privacy information encrypted learning algorithm

Kun Zhang, Ji-Feng Zhang, Rong Su +1

This paper studies the global Nash equilibrium problem of leader-follower multi-agent dynamics, which yields consensus with a privacy information encrypted learning algorithm. With…

eess.SY2021

Synthesis of Maximally Permissive Covert Attackers Against Unknown Supervisors by Using Observations

Ruochen Tai, Liyong Lin, Yuting Zhu +1

In this paper, we consider the problem of synthesis of maximally permissive covert damage-reachable attackers in the setup where the model of the supervisor is unknown to the adver…