Toward cross-domain zero-shot diagnosis: Integrating fault type and severity assessment in complex mechanical systems [0.03%]
跨领域零样本诊断：复杂机械系统中故障类型和严重程度的综合评估
Qiuyu Yang,Yuyi Lin,Jiangjun Ruan et al.
Qiuyu Yang et al.
Fault diagnosis under cross-domain scenarios and severity assessment remain understudied for complex mechanical systems. This paper proposes a cross-domain zero-shot diagnosis framework that utilizes historical data to identify new fault cl...
Yupeng Shi,Lijun Long,Lingbo Geng et al.
Yupeng Shi et al.
This paper is concerned with the problem of safety control for nonlinear systems subject to multiple constraints with different unknown relative degrees. A novel control design approach is developed to guarantee the safety of nonlinear syst...
LLM-assisted adaptive dynamic programming and prescribed performance control for USV trajectory tracking under stochastic disturbances [0.03%]
基于自适应动态规划和规定性能控制的无人船轨迹跟踪鲁棒控制方法研究
Siyuan Wang,Yuanqiao Wen,Qi Zhang et al.
Siyuan Wang et al.
To address the challenges of stochastic disturbances, model uncertainties, and the inherent difficulty in tuning multi-parameter controllers for Unmanned Surface Vehicles (USVs) in complex maritime environments, this paper proposes a backst...
Stability-constrained incremental learning for robust ROV control with feasibility-guided data selection [0.03%]
基于可行性的数据选择的稳定约束增量学习的rov鲁棒控制算法研究
Bao Shi,Yongsheng Ou,Guoliang Zhao et al.
Bao Shi et al.
Remotely operated vehicles (ROVs) often operate in complex aquatic environments with uncertain disturbances, while acquiring high-quality demonstrations is expensive and limited in practice. This makes it challenging to improve control poli...
Prescribed-time event-triggered resilient containment control for multiagent systems against DoS attacks and disturbances [0.03%]
针对DoS攻击和扰动的多智能体系统的 prescribed-time 事件触发抗饱和容含控制
Huaipin Zhang,Chen Yang,Wei Zhao
Huaipin Zhang
This paper investigates the prescribed-time resilient containment control (PTRCC) problem for leader-following multi-agent systems (MASs) subject to denial of service (DoS) attacks and disturbances. To alleviate communication burdens, a nov...
Incremental learning with prototype calibration and dynamic proxy for wind turbine fault diagnosis under time-varying operating conditions [0.03%]
基于时变工况的风电机组故障诊断的原型校准和动态代理增量学习方法研究
Yang Fu,Zhanglan Li,Haoru Pang et al.
Yang Fu et al.
For supervisory control and data acquisition (SCADA) based intelligent fault diagnosis (IFD) of wind turbines, the domain-incremental learning (D-IL) paradigm enables the model to continuously adapt to new operational data while mitigating ...
Optimization of mode discerning control for nonlinear hybrid systems subject to unknown inputs with applications to active fault diagnosis [0.03%]
一种非线性混合系统模式辨识控制的优化及其在主动故障诊断中的应用研究
Dawei Sun,Koffi M D Motchon,Daochun Li et al.
Dawei Sun et al.
Mode identification for hybrid systems with unknown inputs has important applications to multiple-model approaches for health monitoring of cyber-physical systems. Active mode discerning applies a certain auxiliary control signal or reconfi...
Convergence evaluation of optimization-based stochastic iterative learning control [0.03%]
基于优化的随机迭代学习控制收敛性评估
Wenjin Lv,Deyuan Meng,Jingyao Zhang
Wenjin Lv
This paper deals with the convergence analysis and evaluation of iterative learning control (ILC) against stochastic disturbances. By minimizing the trace of the covariance matrix of the output tracking error, an optimization-based design m...
Adaptive utility-aware event-triggered reinforcement learning for hybrid attack scheduling against remote state estimation [0.03%]
自适应效用感知事件触发的强化学习在混合攻击远端状态估计中的应用
Jieyao An,Heng Zhang
Jieyao An
Remote state estimation plays an important role in connected vehicle platoons, industrial automation systems, and other networked Cyber-Physical Systems (CPSs), where reliable state information is essential for monitoring, feedback control,...
Hybrid vehicle state estimation using closed-form liquid neural networks and nonlinear Kalman filtering [0.03%]
基于闭式流形液体神经网络和非线性卡尔曼滤波的混合车辆状态估计
Yang Xu,Chao Wei,Jibin Hu
Yang Xu
Accurate estimation of vehicle dynamic states is crucial for vehicle stability control and autonomous driving systems. However, critical states such as sideslip angle are difficult to measure directly using onboard sensors, especially under...