Decoupled stator-flux-oriented induction motor drive with fuzzy neural network uncertainty observer. - Faa-Jeng Lin; Rong-Jong Wai; Chih-Hong Lin; Da-Chung Liu (IEEE Trans. Ind. Electron., 2000)

Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive. - Faa-Jeng Lin; Chih-Hong Lin; Po-Hung Shen (IEEE Trans. Fuzzy Syst., 2001)

Robust H∞ controller design with recurrent neural network for linear synchronous motor drive. - Faa-Jeng Lin; Tzann-Shin Lee; Chih-Hong Lin (IEEE Trans. Ind. Electron., 2003)

Integral backstepping control for a PMSM drive using adaptive FNN uncertainty observer. - Chih-Hong Lin; Ming-Kuan Lin; Ren-Cheng Wu; Shi-Yan Huang (ISIE, 2012)

The Hybrid RFNN Control for a PMSM Drive Electric Scooter Using Rotor Flux Estimator. - Chih-Hong Lin; Chih-Peng Lin (Adv. Fuzzy Syst., 2012)

Adaptive recurrent Chebyshev neural network control for permanent magnet synchronous motor servo-drive electric scooter. - Chih-Hong Lin (J. Syst. Control. Eng., 2014)

Precision Motion Control of a Linear Permanent Magnet Synchronous Machine Based on Linear Optical-Ruler Sensor and Hall Sensor. - Chih-Hong Lin (Sensors, 2018)

Backstepping control and revamped recurrent fuzzy neural network with mended ant colony optimization applied in SCRIM drive system. - Chih-Hong Lin (J. Intell. Fuzzy Syst., 2019)

Micrometer Backstepping Control System for Linear Motion Single Axis Robot Machine Drive. - Chih-Hong Lin; Kuo-Tsai Chang (Sensors, 2019)

Admixed recurrent Gegenbauer polynomials neural network with mended particle swarm optimization control system for synchronous reluctance motor driving continuously variable transmission system. - Chih-Hong Lin; Kuo-Tsai Chang (J. Syst. Control. Eng., 2020)

Smart backstepping control using revised recurrent fuzzy neural network and revised ant colony optimization for linear permanent magnet synchronous motor drive system. - Chih-Hong Lin; Kuo-Tsai Chang (Trans. Inst. Meas. Control, 2020)

Enhanced PTZ Camera Dispatch Scheme for 3-D Environments Based on Deep Reinforcement Learning. - Jiaming Liang 002; Shashank Mishra; Chih-Hong Lin (IEEE Trans. Instrum. Meas., 2025)