Haptic Identification by ELM-Controlled Uncertain Manipulator
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Yanan Li | Chun-Yi Su | Chenguang Yang | Hong Cheng | Kunxia Huang | C. Su | Chenguang Yang | Yanan Li | Hong Cheng | Kunxia Huang
[1] Shaocheng Tong,et al. Robust Adaptive Tracking Control for Nonlinear Systems Based on Bounds of Fuzzy Approximation Parameters , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[2] Rieko Osu,et al. The central nervous system stabilizes unstable dynamics by learning optimal impedance , 2001, Nature.
[3] Chenguang Yang,et al. A Review of Fuzzy Logic and Neural Network Based Intelligent Control Design for Discrete-Time Systems , 2016 .
[4] Chenguang Yang,et al. Neural-Learning-Based Telerobot Control With Guaranteed Performance , 2017, IEEE Transactions on Cybernetics.
[5] Hong Cheng,et al. Object Property Identification Using Uncertain Robot Manipulator , 2016, CCPR.
[6] Chenguang Yang,et al. A model of reference trajectory adaptation for Interaction with objects of arbitrary shape and impedance , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[7] Chenguang Yang,et al. Neural Network-Based Motion Control of an Underactuated Wheeled Inverted Pendulum Model , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[8] Changyin Sun,et al. Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[9] Craig Wheeler,et al. Sliding-Mode Control of an Electromagnetic Actuated Conveyance System Using Contactless Sensing , 2013, IEEE Transactions on Industrial Electronics.
[10] Chun-Yi Su,et al. Neural Control of Bimanual Robots With Guaranteed Global Stability and Motion Precision , 2017, IEEE Transactions on Industrial Informatics.
[11] S. Sastry,et al. Adaptive Control: Stability, Convergence and Robustness , 1989 .
[12] Wei He,et al. Vibration Control of a Flexible Robotic Manipulator in the Presence of Input Deadzone , 2017, IEEE Transactions on Industrial Informatics.
[13] Narasimhan Sundararajan,et al. A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks , 2006, IEEE Transactions on Neural Networks.
[14] Chenguang Yang,et al. Model Predictive Control of Nonholonomic Chained Systems Using General Projection Neural Networks Optimization , 2015, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[15] Cong Wang,et al. Neural Learning Control of Marine Surface Vessels With Guaranteed Transient Tracking Performance , 2016, IEEE Transactions on Industrial Electronics.
[16] Shuhui Li,et al. Using neural networks to estimate wind turbine power generation , 2001 .
[17] J. Y. S. Luh,et al. An anatomy of industrial robots and their controls , 1983 .
[18] James L Patton,et al. Haptic identification of surfaces as fields of force. , 2006, Journal of neurophysiology.
[19] Wei He,et al. Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints , 2016, IEEE Transactions on Cybernetics.
[20] Vadim I. Utkin,et al. Sliding Modes in Control and Optimization , 1992, Communications and Control Engineering Series.
[21] Jia Xu,et al. Extreme learning machines: new trends and applications , 2014, Science China Information Sciences.
[22] Lei Guo. Self-convergence of weighted least-squares with applications to stochastic adaptive control , 1996, IEEE Trans. Autom. Control..
[23] Q. M. Jonathan Wu,et al. Human face recognition based on multidimensional PCA and extreme learning machine , 2011, Pattern Recognit..
[24] Changyin Sun,et al. Adaptive Neural Network Control of Biped Robots , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[25] Ana-Maria Cretu,et al. Intelligent haptic sensor system for robotic manipulation , 2004, IEEE Transactions on Instrumentation and Measurement.
[26] Shuang Zhang,et al. Control Design for Nonlinear Flexible Wings of a Robotic Aircraft , 2017, IEEE Transactions on Control Systems Technology.
[27] Beibei Ren,et al. Deterministic learning enhanced neutral network control of unmanned helicopter , 2016 .
[28] Ke Hai-sen,et al. An improved Extreme Learning Machine , 2013, Proceedings of the 32nd Chinese Control Conference.
[29] Gang Tao,et al. Adaptive Fault-Tolerant Control of Uncertain Nonlinear Large-Scale Systems With Unknown Dead Zone , 2016, IEEE Transactions on Cybernetics.
[30] Cong Wang,et al. Dynamic Learning From Adaptive Neural Network Control of a Class of Nonaffine Nonlinear Systems , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[31] Shuzhi Sam Ge,et al. Robust adaptive control of a thruster assisted position mooring system , 2014, Autom..
[32] Angelo Cangelosi,et al. Novel Hybrid Adaptive Controller for Manipulation in Complex Perturbation Environments , 2015, PloS one.
[33] Rieko Osu,et al. Endpoint Stiffness of the Arm Is Directionally Tuned to Instability in the Environment , 2007, The Journal of Neuroscience.
[34] Shuzhi Sam Ge,et al. Cooperative control of a nonuniform gantry crane with constrained tension , 2016, Autom..
[35] Mou Chen,et al. Constrained Control Allocation for Overactuated Aircraft Using a Neurodynamic Model , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[36] Mengyin Fu,et al. Advanced Technologies in Modern Robotic Applications , 2016, Springer Singapore.
[37] Q. M. Jonathan Wu,et al. A fast recognition framework based on extreme learning machine using hybrid object information , 2010, Neurocomputing.
[38] Shaocheng Tong,et al. Adaptive Fuzzy Output Feedback Dynamic Surface Control of Interconnected Nonlinear Pure-Feedback Systems , 2015, IEEE Transactions on Cybernetics.
[39] Wai Lok Woo,et al. Genetic Algorithm based Back-Propagation Neural Network approach for fault diagnosis in lithium-ion battery system , 2015, 2015 6th International Conference on Power Electronics Systems and Applications (PESA).
[40] S. Tang,et al. A review of control architectures for autonomous navigation of mobile robots , 2011 .
[41] Shuzhi Sam Ge,et al. Learning impedance control for physical robot–environment interaction , 2012, Int. J. Control.
[42] Roberto A. Santiago,et al. Adaptive critic designs: A case study for neurocontrol , 1995, Neural Networks.
[43] Guido Herrmann,et al. Robust adaptive finite‐time parameter estimation and control for robotic systems , 2015 .
[44] Peng Shi,et al. Adaptive Neural Fault-Tolerant Control of a 3-DOF Model Helicopter System , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[45] Chee Kheong Siew,et al. Real-time learning capability of neural networks , 2006, IEEE Trans. Neural Networks.
[46] Y. J. Tejwani,et al. Robot vision , 1989, IEEE International Symposium on Circuits and Systems,.
[47] Guanglin Li,et al. Development of Sensory-Motor Fusion-Based Manipulation and Grasping Control for a Robotic Hand-Eye System , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[48] Yang Li,et al. Adaptive Neural Network Control of AUVs With Control Input Nonlinearities Using Reinforcement Learning , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[49] Xingjian Wang,et al. Teleoperation Control Based on Combination of Wave Variable and Neural Networks , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[50] Chenguang Yang,et al. Human like learning algorithm for simultaneous force control and haptic identification , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[51] Wei Wang,et al. Adaptive output feedback control of uncertain nonlinear systems based on dynamic surface control technique , 2012 .
[52] Chee Kheong Siew,et al. Extreme learning machine: Theory and applications , 2006, Neurocomputing.