Tao Li

A Piezoelectric MFC-Enabled Active Microforce Sensor With High Range-to-Resolution Ratio for Cross-Scale Robotic Cell Micromanipulation

Shengzheng Kang, Xiaolong Yang, Yao Li, Jiafeng Yao et autres

During robotic cell manipulation tasks, micro-force sensors play an important role to provide real-time force feedback for precise interaction between the robotic manipulator and the environmental cells. In order to accommodate a larger cross-scale range of forces, this paper presents an active …

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Hydroclimatic variability since 29 ka at Gongzhu Co, SW Qinghai-Tibet Plateau: A multi-proxy reconstruction

Haoran Tai, Mingda Wang, Tao Li, Bo Yuan et autres

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A Multi-Reference Calibration Method for Coherent Joint Transmission in Asynchronous Cell-Free Massive MIMO With Imperfect RF Chains

Liyuan Qin, Rui Zhang, Yinghui Ye, Yuhan Ruan et autres

Cell–free massive multiple–input multiple–output (CF–mMIMO) has attracted significant research interest by leveraging coherent joint transmission (CJT) for achieving excellent performance. However, this performance is degraded by phase offsets arising from imperfect radio frequency (RF) chains and asynchronous reception. To significantly recover CJT …

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Coordinated disturbance observer-based tracking control for unmanned autonomous helicopter under asymmetric time-varying state constraints

Chunyu Zhang, Mingliang Wang, Tao Li, Zehui Mao

This paper investigates the problem on tracking control for a medium-scale unmanned autonomous helicopter (UAH) under external disturbances and full state constraints. First, the nonlinear UAH model is divided into position and attitude subsystems, both of which incorporate the disturbance. Second, for …

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Defect identification in electrical equipment of infrared images by integrating visual features and adaptive temperature difference thresholds

Qingyan Shao, Na Li, Xun Zhan, Tao Li et autres

Aiming at the problems of low accuracy and high false detection ratio in identifying overheating defects in infrared images of electrical equipment, this paper proposes a defect identification method based on an improved YOLOv11 architecture, integrating visual features and adaptive temperature difference …

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Neural network-driven predictive control and fractional-order nonlinear filter optimization for helicopter active vibration control

Tao Li, Minqi Wang, Yaxin Zhang, Lida Wang et autres

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Time Generalization Oriented CNN-based RFFI Using WiSig Dataset: an Experimental Study

Chaozheng Xue, Tao Li, Yongzhao Li, Yuhan Ruan et autres

The convolutional neural network (CNN) based radio frequency fingerprint identification (RFFI), as an emerging device authentication technique, can identify wireless devices from their emitted radio-frequency (RF) transmissions. However, the variation of wireless channel may significantly impact accuracies of CNN-based RFFI systems, for …

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Recent Advances of Flexible Pressure Sensors: A Review

Yumeng Zheng, Yang Xiao, H. Zhou, Hengchang Nong et autres

Flexible pressure sensors, as a key branch of flexible electronics, have garnered widespread attention in various fields due to their exceptional compatibility and flexibility. A large number of studies have been conducted to design flexible pressure sensors with excellent performance by utilizing …

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Constructing diplomatic discourse: a corpus-driven analysis of the discursive strategies by the spokespersons of China's ministry of foreign affairs during a public health crisis

Tao Li, Feng Pan

Drawing on a corpus-driven discourse analysis approach, this paper examines the discursive strategies adopted by the spokespersons of China's Ministry of Foreign Affairs during regular press conferences regarding a public health crisis. The analysis reveals that (1) the spokespersons actively used communicative …

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Libra: High-precision congestion control for datacenter networks with in-network allreduce

Guannan Zhang, Tao Li, Siyuan Yang

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Neural-Learning-Based Adaptive Sliding Mode Impedance Force Control of Robotic Microinjection Systems Interacting With Viscoelastic Cells

Shengzheng Kang, Tao Li, Xiaolong Yang, Yao Li et autres

Robotic microinjection has been widely applied in biomedical engineering, but faces a great challenge on the precise force interaction with cells due to their inherently deformable, fragile, and nonlinear viscoelastic properties. This brief proposes a new neural-learning based adaptive sliding mode impedance …

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Force Observer-Based Motion Adaptation and Adaptive Neural Control for Robots in Contact With Unknown Environments

Guangzhu Peng, Tao Li, Yuting Guo, Chengguo Liu et autres

This article proposes a spatial learning control system for robots to achieve a desired behavior during interacting with unknown environments. In contacting with the environment, the force is estimated by a force observer, so sensing devices are not required. Motivated by the …

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