Characteristic Extraction for Model Parameters of McKibben Pneumatic Artificial Muscles
暂无分享,去创建一个
[1] T. Tjahjowidodo,et al. A New Approach to Modeling Hysteresis in a Pneumatic Artificial Muscle Using The Maxwell-Slip Model , 2011, IEEE/ASME Transactions on Mechatronics.
[2] Robert M. Sanner,et al. Nonlinear Control of Robotic Manipulators Driven by Pneumatic Artificial Muscles , 2016, IEEE/ASME Transactions on Mechatronics.
[3] Kenji Sugimoto,et al. Identification procedure for McKibben pneumatic artificial muscle systems , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[4] Kiminao Kogiso,et al. Hybrid nonlinear model of McKibben pneumatic artificial muscle systems incorporating a pressure-dependent Coulomb friction coefficient , 2015, 2015 IEEE Conference on Control Applications (CCA).
[5] Kenji Kawashima,et al. Application of robots using pneumatic artificial rubber muscles for operating construction machines , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).
[6] Zude Zhou,et al. Modeling of pneumatic artificial muscle using a hybrid artificial neural network approach , 2015 .
[7] George Nikolakopoulos,et al. Piecewise Affine Modeling and Constrained Optimal Control for a Pneumatic Artificial Muscle , 2014, IEEE Transactions on Industrial Electronics.
[8] Jung Kim,et al. Powered finger exoskeleton having partially open fingerpad for flexion force assistance , 2013, 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.
[9] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[10] Gen Endo,et al. A walking assistive device with intention detection using back-driven pneumatic artificial muscles , 2015, 2015 IEEE International Conference on Rehabilitation Robotics (ICORR).
[11] Kenji Sugimoto,et al. Application of game-theoretic learning to gray-box modeling of McKibben pneumatic artificial muscle systems , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[12] Kiminao Kogiso,et al. Application of Particle Swarm Optimization to Parameter Estimation of a McKibben Pneumatic Artificial Muscle Model , 2016, 2016 IEEE 4th International Conference on Cyber-Physical Systems, Networks, and Applications (CPSNA).
[13] Bong-Soo Kang,et al. Dynamic modeling of Mckibben pneumatic artificial muscles for antagonistic actuation , 2009, 2009 IEEE International Conference on Robotics and Automation.
[14] Han Meng,et al. Parameter selection in SVM with RBF kernel function , 2012, World Automation Congress 2012.
[15] Francesco Amato,et al. Identification and modelling of the friction-induced hysteresis in pneumatic actuators for biomimetic robots , 2014, 22nd Mediterranean Conference on Control and Automation.
[16] Samia Nefti-Meziani,et al. Valuable experimental model of contraction pneumatic muscle actuator , 2016, 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR).
[17] Blake Hannaford,et al. Measurement and modeling of McKibben pneumatic artificial muscles , 1996, IEEE Trans. Robotics Autom..
[18] Pierre Lopez,et al. Modeling and control of McKibben artificial muscle robot actuators , 2000 .
[19] Francesco Sorge. Dynamical behaviour of pneumatic artificial muscles , 2015 .
[20] Darwin G. Caldwell,et al. Control of pneumatic muscle actuators , 1995 .
[21] Arturo Rojas-Moreno. Parameter extraction of an induction motor with gearbox for dynamic simulation , 2016, 2016 IEEE ANDESCON.
[22] Qian Shen,et al. A unified feature parameter extraction strategy based on system identification for the Buck converter with linear or nonlinear loads , 2016, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society.
[23] Tae-Yong Choi,et al. Position and Compliance Control of a Pneumatic Muscle Actuated Manipulator for Enhanced Safety , 2011, IEEE Transactions on Control Systems Technology.
[24] Kiminao Kogiso,et al. Applications of UKF and EnKF to estimation of contraction ratio of McKibben pneumatic artificial muscles , 2017, 2017 American Control Conference (ACC).
[25] Christian Fager,et al. Optimal parameter extraction and uncertainty estimation in intrinsic FET small-signal models , 2002 .
[26] K. Tadano,et al. Achieving Haptic Perception in Forceps’ Manipulator Using Pneumatic Artificial Muscle , 2013, IEEE/ASME Transactions on Mechatronics.
[27] Jun Morimoto,et al. Torque and variable stiffness control for antagonistically driven pneumatic muscle actuators via a stable force feedback controller , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).