3 papers
math.OC2025
Deep Reinforcement Learning Optimization for Uncertain Nonlinear Systems via Event-Triggered Robust Adaptive Dynamic Programming
Ningwei Bai, Chi Pui Chan, Qichen Yin +3
This work proposes a unified control architecture that couples a Reinforcement Learning (RL)-driven controller with a disturbance-rejection Extended State Observer (ESO), complemen…
eess.SY2025
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…
eess.SY2025
Distributed Feedback-Feedforward Algorithms for Time-Varying Resource Allocation
Yiqiao Xu, Tengyang Gong, Zhengtao Ding +1
This paper studies distributed Time-Varying Resource Allocation (TVRA) where the local cost functions, global equality constraints, and Local Feasibility Constraints (LFCs) vary wi…