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Yingjie Jia

dblp:260/7265 · DBLP profile ↗
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3ranked-venue papers
0as first author
3since 2021 · last 2026
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 3 · 3 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Motion planning and robot control · 87% Reinforcement learning · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot control
0.712023
Optimal output regulation for PMSM speed servo system using approximate dynamic programming · Sci. China Inf. Sci. 2023
Robotics › Motion planning and robot control › robot control › motion control
servo control
0.712023
Optimal output regulation for PMSM speed servo system using approximate dynamic programming · Sci. China Inf. Sci. 2023
Machine learning › Reinforcement learning › dynamic programming
approximate dynamic programming
0.212023
Optimal output regulation for PMSM speed servo system using approximate dynamic programming · Sci. China Inf. Sci. 2023

Methods — techniques the papers use, named apart from their topics

optimal control · 0.7approximate dynamic programming · 0.7
YearPublicationVenuePosition
2026 A New Compliant Bonder With Fast Constant-Force and Precise Self-Leveling Functions Toward Advanced Chip Packaging
Zhishen Liao, Yingjie Jia, Chengsi Huang, Songchao Tang, Shengxi Li, Yuzhang Wei, Hui Tang 0003
IEEE Trans Autom. Sci. Eng.2
2023 Optimal output regulation for PMSM speed servo system using approximate dynamic programming
Zhaowu Ping, Yingjie Jia, Bangguo Xiong
Sci. China Inf. Sci.2
2022 Development and Testing of a Large-Stroke Nanopositioning Stage With Linear Active Disturbance Rejection Controller
abstract
Flexure-based scanning stages driven by piezoelectric (PZT) actuator with large stroke, nanoscale precision, and high bandwidth are quite appealing for developing an advanced multiphoton polymerization 3-D nanolithography system. The motivation of this article is to develop a nanopositioning system, which can simultaneously achieve large stroke, high bandwidth, and nanoscale precision to ensure its machining size, efficiency, and accuracy without traditional step-by-step splicing operations. First, anXYnanopositioning stage with millimeter-scale workspace and nanoscale positioning accuracy is designed. Besides, the natural frequency modeling of the nanopositioning stage is conducted by resorting to compliance analysis based on the matrix method, which is validated by a finite-element analysis (FEA). Moreover, linear active disturbance rejection controller (LADRC) is demonstrated that it can be equivalent to a PID controller filtered using a second-order low-pass filter, which theoretically verifies the effectiveness of controlling the nanopositioning stage. In order to complete LADRC’s successful implementation for nanopositioning stage, a novel quantitative one-parameter-tuning method of LADRC is proposed. Finally, a series of trajectory tracking experiments has been carried out to verify the effectiveness and superiority of the proposed nanopositioning stage. The experimental results verify that the large-stroke compliant nanopositioning system has the capability to achieve millimeter stroke, which has reached 1.035 mm$\times \,\,1.035$mm, while the average tracking error is kept within ±100 nm, and the closed-loop bandwidth is achieved up to 32 Hz.Note to Practitioners—With the purpose to effectively improve the performance in terms of stroke, speed, and accuracy for the piezoelectric (PZT)-actuated scanning system, a completely decoupled nanopositioning stage with millimeter-scale travel range is developed and linear active disturbance rejection controller (LADRC) strategy with a novel quantitative one-parameter-tuning method of strategy is proposed. Experimental results indicate that the compliant nanopositioning system has the capability to achieve millimeter stroke, which has reached 1.035 mm$\times \,\,1.035$mm, while the average tracking error of dynamic tracking control of the nanopositioning stage is kept within ±100 nm, and the closed-loop bandwidth is achieved up to 32 Hz. Therefore, the developed nanopositioning system has satisfactory performance for fulfilling advanced large-size multiphoton polymerization 3-D nanolithography task without step-by-step splicing operations. In summary, the potential applications of the proposed large-stroke nanopositioning strategy will be promising.
Hui Tang 0003, Jiedong Li, Yingjie Jia, Jian Gao 0002, Yangmin Li 0001
IEEE Trans Autom. Sci. Eng.3