The incessant swell in size, complexity, nonlinearity and structural variations in modern
electric power systems, as well as rise in power demand has entailed the use of intelligent …

This paper proposes a unified theoretical framework to study the problem of finite/fixed-time
drive–response anti-synchronization for a class of Markovian stochastic neural networks …

This paper considers the mean‐square bounded consensus of heterogeneous discrete‐time
multi‐agent systems with noise over fixed and Markov switching topologies. Firstly, a …

To achieve better trajectory tracking of the autonomous ground vehicle (AGV), a dual-motor
autonomous steering structure and control method are proposed. The model predictive …

In this paper, a robust control scheme to drive a knee‐exoskeleton has been designed to
assist people with limited knee movement. Dynamic modeling and parameter identification …

In recent years, increasing costs and organization concerns regarding the funding and
allocation of financial resources have resulted in a great attention to financial flow and its …

This study focuses on the robust H∞ H _ ∞ continuous‐discrete hybrid impulsive dynamic
output feedback (DOF) control issue for time delays descriptor Markovian jump systems …

Clustering analysis of massive data in wireless multimedia sensor networks (WMSN) has
become a hot topic. However, most data clustering algorithms have difficulty in obtaining …

In the present paper, an optimal control method based on State-Dependent Riccati Equation
(SDRE) is used to design a controller for DC microgrid system. In the proposed method …

针对正交频分多址(Orthogonal Frequency Division Multiplexing Access, OFDMA)
异构网络中用户关联和功率控制协同优化不佳的问题, 提出了一种多智能体深度Q …