In support of the growing interest in how to efficiently influence complex systems of
interacting self-interested agents, we present this review of fundamental concepts, emerging …

How to predict and control the collective decision-making dynamics in networked
populations is of great significance for various applications in engineering, social and …

Recently, there has been an increasing interest in the control community in studying large-
scale distributed systems. Several techniques have been developed to address the main …

In the previous work, Zhang et al. developed a special type of recurrent neural networks
called Zhang neural network (ZNN) with continuous-time and discrete-time forms for time …

This paper presents an overview of our body of work on the application of smart control
techniques for the control and management of microgrids (MGs). The main focus here is on …

This manuscript describes the MatSWMM toolbox, an open-source Matlab, Python, and
LabVIEW-based software package for the analysis and design of real-time control (RTC) …

In this article, we study the asymptotic behavior of deterministic, continuous-time imitation
dynamics for population games over networks. The basic assumption of this learning …

近年来, 人工智能(Artificial intelligence, AI) 技术在棋牌游戏, 计算机视觉,
自然语言处理和蛋白质结构解析与预测等研究领域取得了众多突破性进展, 传统学科之间的固有 …

Evolutionary games and population dynamics are finding increasing applications in design
learning and control protocols for a variety of resource allocation problems. The implicit …

In this paper, we introduce a model involving group dynamics to investigate the intricate
processes underpinning teacher-guided peer learning. This model seeks to pinpoint the …