22 citations · 54 across the 6 of their papers we have counts for
6 papers
Distributed Nash Equilibrium Seeking Algorithm in Aggregative Games for Heterogeneous Multi-Robot Systems
Yi Dong, Zhongguo Li, Sarvapali D. Ramchurn +1
This paper develops a distributed Nash Equilibrium seeking algorithm for heterogeneous multi-robot systems. The algorithm utilises distributed optimisation and output control to ac…
Prescribed-Time Convergent Distributed Multiobjective Optimization With Dynamic Event-Triggered Communication
Tengyang Gong, Zhongguo Li, Yiqiao Xu +1
This paper addresses distributed constrained multiobjective resource allocation problems (DCMRAPs) in multi-agent networks, where agents face multiple conflicting local objectives…
Decentralised and Cooperative Control of Multi-Robot Systems through Distributed Optimisation
Yi Dong, Zhongguo Li, Xingyu Zhao +2
Multi-robot cooperative control has gained extensive research interest due to its wide applications in civil, security, and military domains. This paper proposes a cooperative cont…
Dual Control of Exploration and Exploitation for Auto-Optimisation Control with Active Learning
Zhongguo Li, Wen-Hua Chen, Jun Yang +1
The quest for optimal operation in environments with unknowns and uncertainties is highly desirable but critically challenging across numerous fields. This paper develops a dual co…
Optimization-Based Ramping Reserve Allocation of BESS for AGC Enhancement
Yiqiao Xu, Alessandra Parisio, Zhongguo Li +2
The transient behavior of Automatic Generation Control (AGC) systems is a critical aspect of power system operation. Therefore, fully extracting the potential of Battery Energy Sto…
Concurrent Active Learning in Autonomous Airborne Source Search: Dual Control for Exploration and Exploitation
Zhongguo Li, Wen-Hua Chen, Jun Yang
In this paper, a concurrent learning framework is developed for source search in an unknown environment using autonomous platforms equipped with onboard sensors. Distinct from the…