L
Longbin Zhang
Researcher at Royal Institute of Technology
Publications - 29
Citations - 706
Longbin Zhang is an academic researcher from Royal Institute of Technology. The author has contributed to research in topics: Artificial neural network & Control theory. The author has an hindex of 9, co-authored 27 publications receiving 332 citations. Previous affiliations of Longbin Zhang include South China University of Technology.
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Adaptive Neural Network Based Variable Stiffness Control of Uncertain Robotic Systems Using Disturbance Observer
TL;DR: A novel disturbance observer based adaptive neural network control is proposed for robotic systems with variable stiffness joints and subject to model uncertainties by utilizing a high-dimensional integral Lyapunov function.
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Neural fuzzy approximation enhanced autonomous tracking control of the wheel-legged robot under uncertain physical interaction
TL;DR: A neural fuzzy-based model predictive tracking scheme (NFMPC) for reliable tracking control is proposed to the developed four wheel-legged robot, and the fuzzy neural network approximation is applied to estimate the unknown physical interaction and external dynamics of the robot system.
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BrainźMachine Interface and Visual Compressive Sensing-Based Teleoperation Control of an Exoskeleton Robot
TL;DR: Considering coupled dynamics and actuator input constraints during the robot manipulation, a local adaptive fuzzy controller has been designed to drive the exoskeleton tracking the intended trajectories in human operator's mind and to provide a convenient way of dynamics compensation with minimal knowledge of the dynamics parameters of theExoskeleton robot.
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Parallel structure of six wheel-legged robot trajectory tracking control with heavy payload under uncertain physical interaction
TL;DR: A fuzzy approximation-based model predictive tracking scheme (FMPC) for reliable tracking control is developed to the six wheel-legged robot, in which the fuzzy logic approximation is applied to estimate the uncertain physical interaction and external dynamics of the robot system.
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Human-in-the-Loop Control of a Wearable Lower Limb Exoskeleton for Stable Dynamic Walking
TL;DR: A novel human-in-the-loop control framework for a fully actuated lower limb exoskeleton with high degree-of-freedoms (DoFs), allowing users to walk without crutches or other external stabilization tools is proposed.