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Torque sensorless decentralized neuro-optimal control for modular and reconfigurable robots with uncertain environments.

, , , and . Neurocomputing, (2018)

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An adaptive backstepping observer-controller design for manipulators cooperating flexible payload., , , and . FSKD, page 2343-2347. IEEE, (2012)A Multi-Joint Continuous Motion Estimation Method of Lower Limb Using Least Squares Support Vector Machine and Zeroing Neural Network based on sEMG signals., , , , and . Neural Process. Lett., 55 (3): 2867-2884 (June 2023)A novel form-finding method via noise-tolerant neurodynamic model for symmetric tensegrity structure., , , , , and . Neural Comput. Appl., 35 (9): 6813-6830 (March 2023)A novel method based on long short term memory network and discrete-time zeroing neural algorithm for upper-limb continuous estimation using sEMG signals., , , , , and . Biomed. Signal Process. Control., (2021)Discrete-time noise-tolerant Z-type model for online solving nonlinear time-varying equations in the presence of noises., , , , , and . J. Comput. Appl. Math., (2022)Two DTZNN Models of O(τ4) Pattern for Online Solving Dynamic System of Linear Equations: Application to Manipulator Motion Generation., , , , , and . IEEE Access, (2020)Torque sensorless decentralized neuro-optimal control for modular and reconfigurable robots with uncertain environments., , , and . Neurocomputing, (2018)Zero-sum game-based neuro-optimal control of modular robot manipulators with uncertain disturbance using critic only policy iteration., , , , and . Neurocomputing, (2021)sEMG-based multi-joints motion estimation of lower limb utilizing deep convolutional neural network., , , , , and . RCAR, page 13-18. IEEE, (2022)Upper Limb Multi-Joint Angle Estimation Based on Multichannel sEMG Signals Using Elman Neural Network., , , , and . RCAR, page 278-283. IEEE, (2022)