| A survey on hysteresis modeling, identification and control V Hassani, T Tjahjowidodo, TN Do Mechanical systems and signal processing 49 (1-2), 209-233, 2014 | 515 | 2014 |
| A review of feature extraction methods in vibration-based condition monitoring and its application for degradation trend estimation of low-speed slew bearing W Caesarendra, T Tjahjowidodo Machines 5 (4), 21, 2017 | 445 | 2017 |
| A new approach to modeling hysteresis in a pneumatic artificial muscle using the Maxwell-slip model T Vo-Minh, T Tjahjowidodo, H Ramon, H Van Brussel IEEE/ASME transactions on mechatronics 16 (1), 177-186, 2010 | 284 | 2010 |
| Identification of pre-sliding and sliding friction dynamics: Grey box and black-box models K Worden, CX Wong, U Parlitz, A Hornstein, D Engster, T Tjahjowidodo, ... Mechanical systems and signal Processing 21 (1), 514-534, 2007 | 199 | 2007 |
| Hysteresis modeling and position control of tendon-sheath mechanism in flexible endoscopic systems TN Do, T Tjahjowidodo, MWS Lau, T Yamamoto, SJ Phee Mechatronics 24 (1), 12-22, 2014 | 179 | 2014 |
| In-process tool condition monitoring in compliant abrasive belt grinding process using support vector machine and genetic algorithm V Pandiyan, W Caesarendra, T Tjahjowidodo, HH Tan Journal of manufacturing processes 31, 199-213, 2018 | 177 | 2018 |
| Friction characterization and compensation in electro-mechanical systems T Tjahjowidodo, F Al-Bender, H Van Brussel, W Symens Journal of sound and vibration 308 (3-5), 632-646, 2007 | 124 | 2007 |
| Cascade position control of a single pneumatic artificial muscle–mass system with hysteresis compensation TV Minh, T Tjahjowidodo, H Ramon, H Van Brussel Mechatronics 20 (3), 402-414, 2010 | 123 | 2010 |
| Theoretical modelling and experimental identification of nonlinear torsional behaviour in harmonic drives T Tjahjowidodo, F Al-Bender, H Van Brussel Mechatronics 23 (5), 497-504, 2013 | 117 | 2013 |
| Nonlinear friction modelling and compensation control of hysteresis phenomena for a pair of tendon-sheath actuated surgical robots TN Do, T Tjahjowidodo, MWS Lau, SJ Phee Mechanical Systems and Signal Processing 60, 770-784, 2015 | 106 | 2015 |
| Modelling and monitoring of abrasive finishing processes using artificial intelligence techniques: A review V Pandiyan, S Shevchik, K Wasmer, S Castagne, T Tjahjowidodo Journal of Manufacturing Processes 57, 114-135, 2020 | 104 | 2020 |
| Identification of pre-sliding friction dynamics U Parlitz, A Hornstein, D Engster, F Al-Bender, V Lampaert, ... Chaos: An Interdisciplinary Journal of Nonlinear Science 14 (2), 420-430, 2004 | 100 | 2004 |
| An investigation of friction-based tendon sheath model appropriate for control purposes TN Do, T Tjahjowidodo, MWS Lau, SJ Phee Mechanical Systems and Signal Processing 42 (1-2), 97-114, 2014 | 95 | 2014 |
| Predictive modelling and analysis of process parameters on material removal characteristics in abrasive belt grinding process V Pandiyan, W Caesarendra, T Tjahjowidodo, G Praveen Applied Sciences 7 (4), 363, 2017 | 88 | 2017 |
| In-process virtual verification of weld seam removal in robotic abrasive belt grinding process using deep learning V Pandiyan, P Murugan, T Tjahjowidodo, W Caesarendra, OM Manyar, ... Robotics and Computer-Integrated Manufacturing 57, 477-487, 2019 | 86 | 2019 |
| A new approach of friction model for tendon-sheath actuated surgical systems: Nonlinear modelling and parameter identification TN Do, T Tjahjowidodo, MWS Lau, SJ Phee Mechanism and Machine Theory 85, 14-24, 2015 | 84 | 2015 |
| Adaptive control for enhancing tracking performances of flexible tendon–sheath mechanism in natural orifice transluminal endoscopic surgery TN Do, T Tjahjowidodo, MWS Lau, SJ Phee Mechatronics 28, 67-78, 2015 | 82 | 2015 |
| Improving surface finish quality in extrusion-based 3D concrete printing using machine learning-based extrudate geometry control W Lao, M Li, TN Wong, MJ Tan, T Tjahjowidodo Virtual and Physical Prototyping 15 (2), 178-193, 2020 | 81 | 2020 |
| Friction identification and compensation in a DC motor T Tjahjowidodo, F Al-Bender, H Van Brussel IFAC Proceedings Volumes 38 (1), 554-559, 2005 | 73 | 2005 |
| Parsimonious network based on a fuzzy inference system (PANFIS) for time series feature prediction of low speed slew bearing prognosis W Caesarendra, M Pratama, B Kosasih, T Tjahjowidodo, A Glowacz Applied Sciences 8 (12), 2656, 2018 | 64 | 2018 |
