Zobrazeno 1 - 10
of 1 177
pro vyhledávání: '"Li, ZhongGuo"'
This paper addresses distributed constrained multiobjective resource allocation problems (DCMRAPs) within multi-agent networks, where each agent has multiple, potentially conflicting local objectives, constrained by both local and global constraints.
Externí odkaz:
http://arxiv.org/abs/2408.09602
Autor:
Yu, Tianchen, Yang, Junyi, Zhou, Wenfa, Li, Zhongguo, Wu, Xingzhi, Fang, Yu, Yang, Yong, Song, Yinglin
A simple and effective single-shot pump-probe technique is reported for studying the ultrafast dynamic processes in various materials. Using only two commercial gratings, a large time window of ~ 95.58 ps is spatially encoded in a single probe pulse,
Externí odkaz:
http://arxiv.org/abs/2405.06894
Autor:
Weng, Chenfan, Li, Zhongguo
In Reinforcement Learning (RL), agents aim at maximizing cumulative rewards in a given environment. During the learning process, RL agents face the dilemma of exploitation and exploration: leveraging existing knowledge to acquire rewards or seeking p
Externí odkaz:
http://arxiv.org/abs/2310.14864
In this study, using only a single pulse, pump-probe measurement with a large time window of more than 100 ps is implemented. A commercial grating is used to encode a time window of ~ 56 ps in a single pulse; therefore, there is no need for machining
Externí odkaz:
http://arxiv.org/abs/2310.03290
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 control algorithm for multi-robot systems with general linear dynamics. Th
Externí odkaz:
http://arxiv.org/abs/2302.01728
Publikováno v:
IEEE Transactions on Automation Science and Engineering, 2024
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 control framework for exploration and exploitation (DCEE) to solve an au
Externí odkaz:
http://arxiv.org/abs/2301.11984
This paper presents a novel scheme termed Optimization-based Ramping Reserve Allocation (ORRA) for addressing an ongoing challenge in Automatic Generation Control (AGC) enhancement, i.e., the optimal coordination of multiple Battery Energy Storage Sy
Externí odkaz:
http://arxiv.org/abs/2204.11270
Autor:
Xin, Shunjie a, Li, Zhongguo a, ⁎, Chen, Ning a, Zhang, Ziyi a, Zhang, Xingzhong a, Chen, Hongxiang b, Ma, Xinshu b, Kang, Ligang b
Publikováno v:
In Ecological Indicators November 2024 168
Publikováno v:
In Neurocomputing 28 February 2025 619