| Bearing fault detection using wavelet packet transform of induction motor stator current J Zarei, J Poshtan Tribology international 40 (5), 763-769, 2007 | 272 | 2007 |
| An advanced Park's vectors approach for bearing fault detection J Zarei, J Poshtan Tribology International 42 (2), 213-219, 2009 | 149 | 2009 |
| Nonlinear model predictive control of a pH neutralization process based on Wiener–Laguerre model S Mahmoodi, J Poshtan, MR Jahed-Motlagh, A Montazeri Chemical Engineering Journal 146 (3), 328-337, 2009 | 145 | 2009 |
| Detection of broken rotor bars in induction motors using nonlinear Kalman filters F Karami, J Poshtan, M Poshtan ISA transactions 49 (2), 189-195, 2010 | 85 | 2010 |
| Simulative and experimental investigation on stator winding turn and unbalanced supply voltage fault diagnosis in induction motors using Artificial Neural Networks N Lashkari, J Poshtan, HF Azgomi ISA transactions 59, 334-342, 2015 | 70 | 2015 |
| Wiener-neural identification and predictive control of a more realistic plug-flow tubular reactor MM Arefi, A Montazeri, J Poshtan, MR Jahed-Motlagh Chemical Engineering Journal 138 (1-3), 274-282, 2008 | 66 | 2008 |
| Sensor fault detection and diagnosis of a process using unknown input observer J Zarei, J Poshtan Mathematical and Computational Applications 16 (1), 31-42, 2011 | 54 | 2011 |
| Design of nonlinear unknown input observer for process fault detection J Zarei, J Poshtan Industrial & Engineering Chemistry Research 49 (22), 11443-11452, 2010 | 54 | 2010 |
| Distributed interacting multiple filters for fault diagnosis of navigation sensors in a robotic system N Sadeghzadeh-Nokhodberiz, J Poshtan IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (7), 1383-1393, 2016 | 53 | 2016 |
| Induction motor stator fault detection via fuzzy logic HF Azgomi, J Poshtan 2013 21st Iranian Conference on Electrical Engineering (ICEE), 1-5, 2013 | 50 | 2013 |
| Design and comparison of LQG/LTR and H∞ controllers for a VSTOL flight control system J Zarei, A Montazeri, MRJ Motlagh, J Poshtan Journal of the Franklin Institute 344 (5), 577-594, 2007 | 50 | 2007 |
| Quantitative and qualitative analysis of time-series classification using deep learning SA Ebrahim, J Poshtan, SM Jamali, NA Ebrahim IEEE Access 8, 90202-90215, 2020 | 48 | 2020 |
| Fault diagnosis of brushless DC motors using built-in Hall sensors O Zandi, J Poshtan IEEE Sensors Journal 19 (18), 8183-8190, 2019 | 47 | 2019 |
| A new adaptive recursive RLS-based fast-array IIR filter for active noise and vibration control systems A Montazeri, J Poshtan Signal Processing 91 (1), 98-113, 2011 | 45 | 2011 |
| Fault detection and isolation using unknown input observers with structured residual generation MH Sobhani, J Poshtan International Journal of Instrumentation and Control Systems 2 (2), 1-12, 2012 | 38 | 2012 |
| Nonlinear model predictive control of chemical processes with a Wiener identification approach MM Arefi, A Montazeri, J Poshtan, MR Jahed-Motlagh 2006 IEEE International Conference on Industrial Technology, 1735-1740, 2006 | 38 | 2006 |
| IIR model identification via evolutionary algorithms: A comparative study T Mostajabi, J Poshtan, Z Mostajabi Artificial Intelligence Review 44, 87-101, 2015 | 32 | 2015 |
| Cascaded Kalman and particle filters for photogrammetry based gyroscope drift and robot attitude estimation J Poshtan, A Wagner, E Nordheimer, E Badreddin ISA transactions 53 (2), 524-532, 2014 | 32 | 2014 |
| Optimal controller design using discrete linear model for a four tank benchmark process Y Alipouri, J Poshtan ISA transactions 52 (5), 644-651, 2013 | 30 | 2013 |
| Optimal placement of loudspeakers and microphones in an enclosure using genetic algorithm A Montazeri, J Poshtan, MH Kahaei Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003 …, 2003 | 28 | 2003 |
