Zhidan Yan

dblp:69/10191 · DBLP profile ↗
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7ranked-venue papers
5as first author
3since 2021 · last 2024
—ORCID · conflict

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Theory of computation · 5 · 3 first-author · 1 since 2021Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021
YearPublicationVenuePosition
2024 An ADRC Strategy With Sequential Output Stacking Extended State Observers to Evaluate Hydraulic Torque for a Continuous-Wave Pulse Generator
abstract
The quality of pressure signals is intricately linked to the speed variation characteristics of the permanent magnet synchronous motor (PMSM) employed to drive the rotor of the continuous wave pulse generator. However, achieving precise control of PMSM is significantly challenged by complex and time-varying drilling operating conditions. A serialnADRC (SnADRC) is presented to increase the control motor's immunity and dynamic performance, where “n” indicates the number of sequential output stacking extended state observers (SOS-ESOs) equal to the highest order of the disturbance. Based on the deduced continuous wave pulse generator rotor model, first-order SOS-ESO is intended to detect the first-order disturbance, with the higher order SOS-ESO designed to anticipate the residual disturbances in order to accomplish real-time and precise hydraulic torque prediction. Moreover, the estimation performance of SOS-ESO is analyzed, and the intrinsic stability of SnADRC with the speed loop control system is rigorously demonstrated using the Lyapunov theory. Additionally, SOS-ESO is employed in simulation to resist polynomial disturbances, and it is discovered that thenthorder SOS-ESO may successfully suppress complex disturbances up to (n-1) order. Finally, the control performance of SnADRC is compared to that of classical control methods in both the simulation and experiment, and the results show that SnADRC has excellent rapidity and stability in motor control, which opens up a wide range of possibilities for practical applications in control and engineering fields.
Zhidan Yan, Shiyan Deng, Xiucai Shi
IEEE Trans. Ind. Informatics1
2022 The smallest pair of cospectral cubic graphs with different chromatic indexes
Zhidan Yan, Wei Wang 0052
Discret. Appl. Math.1
2021 An effective compression algorithm for real-time transmission data using predictive coding with mixed models of LSTM and XGBoost
Zhidan Yan
Neurocomputing1
2015 Equitable colorings of Cartesian products with balanced complete multipartite graphs
Zhidan Yan, Wei Wang 0052, Xin Zhang 0017
Discret. Appl. Math.1
2014 On r-equitable chromatic threshold of Kronecker products of complete graphs
Wei Wang 0052, Zhidan Yan, Xin Zhang 0017
Discret. Appl. Math.2
2014 Equitable coloring of Kronecker products of complete multipartite graphs and complete graphs
Zhidan Yan, Wei Wang 0052
Discret. Appl. Math.1
2013 Connectivity of Kronecker products with complete multipartite graphs
Wei Wang 0052, Zhidan Yan
Discret. Appl. Math.2