References
A three-loop physical parameter identification method of robot manipulators considering physical feasibility and nonlinear friction mode, Tangzhong Song, Lijin Fang,Guanghui Liu, Hanyu Pang, 2024
Comprehensive modeling and identification of nonlinear joint dynamics for collaborative industrial robot manipulators, Emil Madsen, Oluf Skov Rosenlund, David Brandt, Xuping Zhang, 2020
Robotics Modelling Planning and Control, Bruno Siciliano, Lorenzo Sciavicco Luigi Villani,Giuseppe Oriolo,
Global Identification of Joint Drive Gains and Dynamic Parameters of Robots , Maxime Gautier, Sebastien Brio, 2014
Direct Calculation of Minimum Set of Inertial Parameters of Serial Robots, Maxime Gautier, Wisama khalil, 1990
Efficient Dynamic Computer Simulation of Robotic Mechanisms, M.W.Walker, D. E. Orin, 1982
Inertial Parameter Identification in Robotics: A Survey, Quentin Leboutet, Julien Roux, Alexandre Janot, Julio Rogelio, Gordon Cheng, 2021
Practical Modeling and Comprehensive System Identification of a BLDC Motor, Changle Xiang, Xiaoliang Wang, Yue Ma, and Bin Xu, 2015
Identiable Parameters and Optimum Congurations for Robots Calibration, W. Khalil, M. Gautier and Ch. Enguehard, 2009, Robotica
Recursive identification of certain structured time varying state-space models, M.H. Moazzam T. Hesketh, D.J.Clements, 1997
Comparison Between the CLOE Method and the DIDIM Method for Robots Identification, Alexandre Janot, Maxime Gautier, Anthony Jubien, and Pierre Olivier Vandanjon, 2014
Robot Joint Modeling and Parameter Identification Using the Clamping Method, Christian Lehmann ∗ Bjorn Olofsson, Klas Nilsson, Marcel Halbauer, Mathias Haage, Anders Robertsson, Olof Sornmo, Ulrich Berger, 2013
Fundamentals of friction modeling, Farid Al-Bender, 2015
Constrained State Estimation - A Review, Nesrine Amor, Ghualm Rasool, and Nidhal C. Bouaynaya, arXiv, 2022
The Pinocchio C++ library,J.Carpentier, G.Saurel, G.Buondonno, J.Mirabel, F.Lamiraux, O.Stasse, N.Mansard, 2019
Useful Materials
For system identification, refer to the following resources:
https://web.mit.edu/braatzgroup/canonical_variate_analysis_based_contributions_for_fault_identification.pdf
https://jax.readthedocs.io/en/latest/index.html