Hybrid multi-agent consensus with game-driven dynamics and connectivity-based partition [0.03%]
基于连接和博弈驱动动力学的混合多智能体系统一致性算法研究
Qianqian Sun,Zhijian Ji,Yungang Liu et al.
Qianqian Sun et al.
Current research on the consensus problem in hybrid game-based multi-agent systems (HGBMASs) faces limitations such as insufficient engineering modularity, idealized topological assumptions, and passive game mechanisms. To overcome these is...
Hybrid multi-agent consensus with game-driven dynamics and connectivity-based partition [0.03%]
基于连接性划分的游戏驱动多智能体系统杂交一致性算法研究
Qianqian Sun,Zhijian Ji,Yungang Liu et al.
Qianqian Sun et al.
Current research on the consensus problem in hybrid game-based multi-agent systems (HGBMASs) faces limitations such as insufficient engineering modularity, idealized topological assumptions, and passive game mechanisms. To overcome these is...
Adaptive fault-tolerant control and online control allocation for strict-feedback nonlinear systems with actuator faults [0.03%]
具有执行器故障的严格反馈非线性系统的自适应容错控制和在线分配控制
Jinsong Zhao,Hualiang Wang,Jian Ma et al.
Jinsong Zhao et al.
In systems with multiple redundant actuators, the existing direct adaptive fault-tolerant control (FTC) methods adopt a static control allocation strategy, which in turn leads to an imbalance in the utilization of control resources. In this...
LEIPL: A novel fault diagnosis method for high-speed train axle box bearings under noisy labels [0.03%]
基于噪声标签的高速动车组轴箱轴承故障诊断方法_LEIP LSTM网络
Jiacheng Liang,Kai Zhang,Zhihao Guo et al.
Jiacheng Liang et al.
Reliable fault diagnosis of high-speed-train axle box bearings is challenged by noisy annotations in maintenance data. This paper proposes LEIPL, a noise-robust diagnostic method that expands the original label space with an auxiliary negat...
Prescribed-performance optimal backstepping control for hydraulic manipulators with disturbance compensation [0.03%]
基于扰动补偿的液压机械臂 prescribed performance 优化backstepping 控制方法研究
Changzhi Chen,Lin Jia,Teng Chen et al.
Changzhi Chen et al.
Hydraulic manipulators are widely used in heavy-load automation, yet nonlinear coupling and external disturbances hinder high-precision trajectory tracking. Notably, it remains challenging to guarantee transient error bounds while maintaini...
Adaptive finite-time fault-tolerant control of underactuated mechanical systems with guaranteed transient and steady-state performance [0.03%]
具有暂态和稳态性能保证的欠驱动机械系统的自适应有限时间容错控制
Jiyu Xia,Huimin Ouyang
Jiyu Xia
This paper investigates the finite-time fault-tolerant control problem of underactuated mechanical systems subject to actuator faults, external disturbances, and model uncertainties, with particular emphasis on guaranteed transient and stea...
ESO-based super-twisting sliding-mode composite control for single-detector, pendulum-mirror PAT system in inter-satellite laser communication [0.03%]
基于ESO的单检波器摆镜PAT系统间断卫星激光通信超扭曲滑模复合控制
Weipeng Li,Zeshu Liu,Chengzhi Jiang et al.
Weipeng Li et al.
Achieving high-precision pointing and tracking is critical for inter-satellite laser communication under dynamic disturbances. In single-sensor pointing-acquisition-tracking (PAT) systems, the motions of the coarse-pointing assembly (CPA) a...
Safety-critical target enclosing control for multi-robot systems: A robust reconfigurable strategy [0.03%]
多机器人系统的安全目标围捕控制：一种鲁棒重构策略
Chuanjun Peng,Chuanhai Yang,Qingshan Liu
Chuanjun Peng
This paper addresses the target enclosing control for multi-robot systems subject to actuator faults and external disturbances. First, a target enclosing framework is constructed based on bearing rigidity theory. Its formation shape is uniq...
Robust fault-tolerant control of nonlinear switched stochastic systems based on functional observers [0.03%]
基于泛函观测器的非线性切换随机系统的容错控制
Jian Han,Zhaofeng Wang,Xiuhua Liu
Jian Han
The fault-tolerant control problem for nonlinear switched stochastic systems affected by unknown inputs, sensor faults, and actuator faults is studied. Functional observers are adopted to reconstruct linear combinations of system states and...
Fuzzy-TD3: A prior-knowledge guided deterministic policy gradient for interpretable control [0.03%]
基于先验知识的确定性策略梯度 fuzzy-td3 算法及其在可解释控制中的应用研究
Kainan Liu,Linxiang Li,Xiaojun Ban et al.
Kainan Liu et al.
Deterministic policy gradient methods with neural network actors, such as Twin Delayed Deep Deterministic Policy Gradient (TD3), offer strong performance but remain difficult to interpret. Although existing fuzzy reinforcement learning meth...