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Po-Huan Chou
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2020 – today
- 2023
- [j14]Ping-Jui Ho, Chen-Pei Yi, Yi-Jen Lin, Wei-Der Chung, Po-Huan Chou, Shih-Chin Yang:
Torque Measurement and Control for Electric-Assisted Bike Considering Different External Load Conditions. Sensors 23(10): 4657 (2023) - [c5]Ping-Jui Ho, Chen-Pei Yi, Yi-Jen Lin, Wei-Der Chung, Po-Huan Chou, Bo-Huang Sie, Shih-Chin Yang:
Motor Torque Control of Electric Assist Bike Considering External Resistances. IECON 2023: 1-7 - 2022
- [j13]Kuo-Yuan Hung, Po-Huan Chou, Nai-Wen Liu, Yu-Liang Hsu, Shih-Chin Yang:
The Influence of Non-Sinusoidal Inductance on Saliency-Based Position Estimation for Permanent Magnet Machine. IEEE Access 10: 54421-54432 (2022) - [j12]Yi-Jen Lin, Po-Huan Chou, Shih-Chin Yang:
High-Resolution Permanent Magnet Drive Using Separated Observers for Acceleration Estimation and Control. Sensors 22(3): 725 (2022) - 2020
- [j11]Po-Huan Chou, Shih-Chin Yang, Ciao-Jhen Jhong, Jen-I Huang, Jyun-You Chen:
Permanent Magnet Motor Design for Satellite Attitude Control With High Torque Density and Low Torque Ripple. IEEE Access 8: 48587-48598 (2020)
2010 – 2019
- 2019
- [j10]Shih-Chin Yang, Yu-Liang Hsu, Po-Huan Chou, Jyun-You Chen, Guan-Ren Chen:
Digital Implementation Issues on High Speed Permanent Magnet Machine FOC Drive Under Insufficient Sample Frequency. IEEE Access 7: 61484-61493 (2019) - [c4]Po-Huan Chou, Shih-Chin Yang, Ciao-Jhen Jhong, Jen-I Huang, Jyun-You Chen:
High-Precision Permaent Magent Motor Design for Satellite Attitude Control with High Torque Density and Low Torque Ripple. IECON 2019: 802-805 - 2018
- [j9]Shih-Chin Yang, Yu-Liang Hsu, Po-Huan Chou, Guan-Ren Chen, Da-Ren Jian:
Online Open-Phase Fault Detection for Permanent Magnet Machines With Low Fault Harmonic Magnitudes. IEEE Trans. Ind. Electron. 65(5): 4039-4050 (2018) - 2017
- [j8]Yu-Liang Hsu, Po-Huan Chou, Hsing-Cheng Chang, Shyan-Lung Lin, Shih-Chin Yang, Heng-Yi Su, Chih-Chien Chang, Yuan-Sheng Cheng, Yu-Chen Kuo:
Design and Implementation of a Smart Home System Using Multisensor Data Fusion Technology. Sensors 17(7): 1631 (2017) - 2016
- [c3]Yu-Liang Hsu, Yu-Tai Chen, Po-Huan Chou, Yu-Chen Kuo, Yi-Chung Chen, Heng-Yi Su:
Golf swing motion detection using an inertial-sensor-based portable instrument. ICCE-TW 2016: 1-2 - 2012
- [j7]Po-Huan Chou, Chin-Sheng Chen, Faa-Jeng Lin:
DSP-based synchronous control of dual linear motors via Sugeno type fuzzy neural network compensator. J. Frankl. Inst. 349(3): 792-812 (2012) - [j6]Faa-Jeng Lin, Po-Huan Chou, Chin-Sheng Chen, Yu-Sheng Lin:
Three-Degree-of-Freedom Dynamic Model-Based Intelligent Nonsingular Terminal Sliding Mode Control for a Gantry Position Stage. IEEE Trans. Fuzzy Syst. 20(5): 971-985 (2012) - [j5]Faa-Jeng Lin, Po-Huan Chou, Chin-Sheng Chen, Yu-Sheng Lin:
DSP-Based Cross-Coupled Synchronous Control for Dual Linear Motors via Intelligent Complementary Sliding Mode Control. IEEE Trans. Ind. Electron. 59(2): 1061-1073 (2012) - 2011
- [c2]Chin-Sheng Chen, Po-Huan Chou, Faa-Jeng Lin:
DSP-based cross-coupled synchronous control for dual linear motors via functional link radial basis function network. FUZZ-IEEE 2011: 872-878 - [c1]Chin-Sheng Chen, Chao-Feng Lee, Po-Huan Chou, Faa-Jeng Lin, Shun-Hung Tsai:
T-S fuzzy tracking and synchronous control in a gantry stage. FUZZ-IEEE 2011: 1844-1851
2000 – 2009
- 2009
- [j4]Faa-Jeng Lin, Syuan-Yi Chen, Po-Huan Chou, Po-Huang Shieh:
Interval type-2 fuzzy neural network control for X-Y-Theta motion control stage using linear ultrasonic motors. Neurocomputing 72(4-6): 1138-1151 (2009) - [j3]Faa-Jeng Lin, Po-Huan Chou, Po-Huang Shieh, Syuan-Yi Chen:
Robust Control of an LUSM-Based Xhbox-Yhbox-theta Motion Control Stage Using an Adaptive Interval Type-2 Fuzzy Neural Network. IEEE Trans. Fuzzy Syst. 17(1): 24-38 (2009) - [j2]Faa-Jeng Lin, Po-Huan Chou:
Adaptive Control of Two-Axis Motion Control System Using Interval Type-2 Fuzzy Neural Network. IEEE Trans. Ind. Electron. 56(1): 178-193 (2009) - 2008
- [j1]Faa-Jeng Lin, Po-Huang Shieh, Po-Huan Chou:
Robust Adaptive Backstepping Motion Control of Linear Ultrasonic Motors Using Fuzzy Neural Network. IEEE Trans. Fuzzy Syst. 16(3): 676-692 (2008)
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