Sequential fusion for multi-rate multi-sensor nonlinear dynamic systems with heavy-tailed noise and missing measurements [0.03%]
具有重尾噪声和缺失测量的多速率多传感器非线性动态系统的顺序融合方法
Guiting Hu,Zhengjiang Zhang,Luping Xu
Guiting Hu
This paper focuses on sequential fusion estimation for multi-rate multi-sensor nonlinear dynamic systems with heavy-tailed noise and missing measurements. On the basis of Bayesian inference, a sequential Student's t-based unscented Kalman f...
Off-policy reinforcement-learning-based fault-tolerant H∞ control for topside separation systems with time-varying uncertainties [0.03%]
基于脱靶补偿的海洋哺乳动物声纳检测注意机制研究
Yuguang Zhang,Juan Wang,Shaobao Li et al.
Yuguang Zhang et al.
The topside separation system plays a pivotal role in the treatment of produced water within offshore oil and gas production operations. Due to high-humidity and salt-infested marine environments, topside separation systems are susceptible ...
An overhaul cycle performance degradation modeling method for marine gas turbines [0.03%]
一种船用燃气轮机翻修周期性能衰退建模方法
Junqi Luan,Yunpeng Cao,Ran Ao et al.
Junqi Luan et al.
A degradation modeling method of marine gas turbines for the overhaul cycle is proposed to address the problem of insufficient data sets for fault diagnosis and trend prediction algorithm validation. First, a nonlinear model of the marine t...
Robust estimation method for power system dynamic synchronization with sensor gain degradation [0.03%]
基于传感器增益退化的电力系统动态同步鲁棒估计方法研究
Yi Wang,Jiawei Zhang,Yaoqiang Wang et al.
Yi Wang et al.
Efficient and accurate real-time estimation of power system synchronization is quite important for its safety control and operation. However, signal sensing failure, electromagnetic interference, system delay, etc., will cause the sensor ga...
Distributed model predictive control for consensus of nonlinear systems via parametric sensitivity [0.03%]
基于参数灵敏度的非线性系统的分布式模型预测控制一致性算法
Tianyu Yu,Fei Zhao,Zuhua Xu et al.
Tianyu Yu et al.
To handle the nonlinear consensus problem, a distributed model predictive control (DMPC) scheme is developed via parametric sensitivity. A two-stage input computation strategy is adopted for enhancing optimization efficiency. In the backgro...
Design, dynamic modeling and testing of a novel MR damper for cable-stayed climbing robots under wind loads [0.03%]
一种新型用于索攀爬机器人抗风阻的MR减震器的设计、动态建模与实验测试研究
Kaiwei Ma,Fengyu Xu,Yangru Zhou et al.
Kaiwei Ma et al.
To increase the adaptability of bridge construction equipment in high-altitude settings, this study examines a magnetorheological (MR) damper designed for cable-stayed climbing robots. Initially, a novel damper incorporating a spring-MR flu...
Mechanical resonance suppression technique for inertial reference unit based on band-pass filter disturbance observer [0.03%]
基于带通滤波扰动观测器的惯性参考单元机械谐振抑制技术
Tianyu Wang,Weixiao Tuo,Xingfei Li et al.
Tianyu Wang et al.
Inertial reference unit (IRU) has been recognized as an effective method for photoelectric tracking and pointing system to suppress the disturbance. Its flexible support usually results in a low-frequency mechanical resonance within the ban...
Stability analysis of electromagnetic suspension systems coupled with flexible frames: Modeling, control, analysis and experimentation [0.03%]
电磁悬浮系统与柔性框架耦合的稳定性分析：模型、控制、分析和实验
Xiaohao Chen,Yi Cao,Miao Li et al.
Xiaohao Chen et al.
The stability of the suspension is a key challenge for the application and promotion of electromagnetic suspension technology, especially when it operates in conjunction with a flexible structure, which significantly increases the system's ...
Quadrotor trajectory tracking using combined stochastic model-free position and DDPG-based attitude control [0.03%]
基于组合随机模型自由位置和DDPG姿态控制的四旋翼轨迹追踪算法
Roujin Mousavifard,Khalil Alipour,Mohamad Amin Najafqolian et al.
Roujin Mousavifard et al.
This article presents a cascade controller for the quadrotor to track the desired trajectory effectively. Unlike previous approaches, this method avoids simplification and linearization assumptions, making it applicable in a wider range of ...
Heuristic dense reward shaping for learning-based map-free navigation of industrial automatic mobile robots [0.03%]
基于启发式的密集奖励成形的工业自主移动机器人学习地图导航方法研究
Yizhi Wang,Yongfang Xie,Degang Xu et al.
Yizhi Wang et al.
This paper presents a map-free navigation approach for industrial automatic mobile robots (AMRs), designed to ensure computational efficiency, cost-effectiveness, and adaptability. Utilizing deep reinforcement learning (DRL), the system ena...