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Tegoeh Tjahjowidodo
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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
4702014
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
4042017
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
2762010
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
1842007
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
1632014
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
1622018
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
1202010
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
1202007
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
1122013
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
972015
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
972004
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
882020
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
862014
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
772017
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
762019
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
762015
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
732015
Friction identification and compensation in a DC motor
T Tjahjowidodo, F Al-Bender, H Van Brussel
IFAC Proceedings Volumes 38 (1), 554-559, 2005
702005
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
672020
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
642018
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