Observer-based adaptive affine formation maneuver control for underactuated multi-ASV systems [0.03%]
基于观测器的自适应仿射多水下自主航行器系统欠驱动编队机动控制
Dingze Zhang,Kezhong Liu,Yue Yang et al.
Dingze Zhang et al.
This paper investigates the affine formation maneuver control problem for underactuated multi-autonomous surface vehicle systems subject to limited sensing of neighbor state information and unknown disturbances. First, to address the situat...
Composite multiscale fuzzy extreme position entropy and its application in rolling bearing fault diagnosis [0.03%]
复合多尺度模糊极值位置熵及其在滚动轴承故障诊断中的应用
Qintao Lv,Jinde Zheng,Haiyang Pan et al.
Qintao Lv et al.
To improve the physical interpretability and multiscale stability of entropy-based methods in nonlinear vibration analysis, a composite multiscale fuzzy extreme position entropy (CMFEPE) is proposed. The method characterizes fault-induced s...
Fixed-time lyapunov-based model predictive control for path following and obstacle avoidance in unmanned ground vehicle formation [0.03%]
基于李雅普诺夫的固定时间模型预测控制在无人地面车辆编队路径跟踪和障碍物规避中的应用
Yuanlong Liu,Yongqiang Dong,Luke Li et al.
Yuanlong Liu et al.
This paper investigates the path following problem for unmanned ground vehicle (UGV) formation subject to control input and obstacle constraints. A fixed-time Lyapunov-based model predictive control (FLMPC) framework is proposed for multi-v...
Smart PID generator for nonlinear systems: zero-shot reinforcement learning based on virtual environments [0.03%]
基于虚拟环境的零样本强化学习的非线性系统智能PID生成器
Pei Sun,Bo-Han Huang,Junghui Chen
Pei Sun
Proportional-integral-derivative (PID) controllers remain the cornerstone of industrial automation owing to their robustness and operational simplicity. However, tuning PID parameters for nonlinear processes presents persistent challenges, ...
Mode-selective adaptive admittance force-position control for safe robotic interaction in unknown time-varying environments [0.03%]
未知时变环境下的自适应力位控制的模式选择安全机器人交互技术
Zhipeng Li,Dening Song,Jinghua Li et al.
Zhipeng Li et al.
With the increasing complexity of robotic interaction tasks, robotic manipulators are required to safely interact with unknown and time-varying environments while maintaining accurate trajectory tracking. Such tasks involve frequent switchi...
Predefined-time data-driven distributed neural formation control for underactuated AUV systems [0.03%]
预定义时间数据驱动的欠驱动AUV系统分布式神经形体控制
Xiyuan Zhang,Wei Zhang,Zhengyang Zhu et al.
Xiyuan Zhang et al.
This paper proposes a predefined-time data-driven distributed neural sliding mode formation tracking controller for autonomous underwater vehicles (AUVs) with unknown dynamics. Although existing data-driven methods provide model-free soluti...
Hyper-opinion dual branch evidential deep learning with distance perception method for open set fault diagnosis [0.03%]
基于距离感知的超意见双向证据深度学习的开集故障诊断方法
Peng Han,Zhiqiu Huang,Weiwei Li et al.
Peng Han et al.
Accurate fault diagnosis is critical to ensuring the reliable operation of equipment. However, traditional deep learning methods typically rely on a predefined set of known fault types, limiting their ability to identify unknown faults. Thu...
An integrated dynamic event-driven ADP framework for distributed resource allocation in nonlinear multi-agent systems [0.03%]
非线性多智能体系统分布式资源分配的集成动态事件驱动ADP框架
Qingxiang Ao,Sen Chen,Xiasheng Shi et al.
Qingxiang Ao et al.
This paper investigates the distributed resource allocation problem in second-order nonlinear multi-agent systems (MASs) and proposes an integrated adaptive dynamic programming (ADP) framework with a dynamic event-triggered mechanism. A cou...
Adaptive predefined-time fault-tolerant control for carrier landing under actuator effectiveness loss [0.03%]
执行器功效下降条件下的自适应预设时间容错着舰控制
Simin Liu,Bing Zhu,Zewei Zheng
Simin Liu
This paper proposes an adaptive predefined-time fault-tolerant control scheme for carrier-based aircraft landing under actuator faults, airwake disturbances, and input saturation. Based on predefined-time stability theory, a generalized par...
Quasi-projective synchronization of fractional-order quaternion-valued inertial neural networks with application to image encryption [0.03%]
分数阶四元数惯性神经网络的拟项目同步及在图像加密中的应用
Yanxia Hu,Xiaofang Meng,Zhouhong Li et al.
Yanxia Hu et al.
Fractional-order quaternion inertial neural networks have shown great potential for secure communications, as evidenced by the capability of efficiently capturing the dynamic characteristics of high-dimensional data. This article focuses on...