Zhijun Li mainly focuses on Control theory, Robot, Adaptive control, Trajectory and Artificial neural network. Zhijun Li has included themes like Control engineering and Exoskeleton in his Control theory study. His work in Robot addresses subjects such as Simulation, which are connected to disciplines such as Exponential stability.
His studies in Adaptive control integrate themes in fields like Markov process, Robust control and Motion control. He works mostly in the field of Artificial neural network, limiting it down to concerns involving Robustness and, occasionally, Observer and Impedance control. His Control theory research integrates issues from Stability, Motion, Computer vision and Vehicle dynamics.
His primary areas of investigation include Control theory, Robot, Artificial intelligence, Trajectory and Control engineering. His Artificial neural network research extends to Control theory, which is thematically connected. His Robot study combines topics in areas such as Simulation and Exoskeleton.
His research investigates the connection between Artificial intelligence and topics such as Computer vision that intersect with problems in Obstacle avoidance. His Trajectory research is multidisciplinary, incorporating perspectives in Mathematical optimization, Task analysis and Inverted pendulum. His Control engineering study combines topics from a wide range of disciplines, such as Mobile manipulator, Motion and Motion control.
His primary scientific interests are in Robot, Control theory, Artificial intelligence, Trajectory and Control theory. His Human–robot interaction, Teleoperation and Robot manipulator study in the realm of Robot connects with subjects such as Scheme. His Control theory research incorporates elements of Artificial neural network and Exoskeleton.
His Artificial intelligence research is multidisciplinary, incorporating elements of Construct, Machine learning and Computer vision. His research integrates issues of Task, Task analysis, Function, Workspace and Optimization problem in his study of Trajectory. Zhijun Li interconnects Admittance and Robot kinematics, Mobile robot in the investigation of issues within Control theory.
His main research concerns Control theory, Robot, Trajectory, Control theory and Exoskeleton. Control theory and Bounded function are commonly linked in his work. The various areas that he examines in his Robot study include Motion and Task.
His biological study spans a wide range of topics, including Admittance, Lyapunov function, Mobile robot, Manipulator and Reinforcement learning. His studies deal with areas such as Observer, Robot kinematics and Actuator as well as Control theory. His Exoskeleton research includes elements of Control engineering, Workspace, Cog and Inverted pendulum.
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Neural Control of Bimanual Robots With Guaranteed Global Stability and Motion Precision
Chenguang Yang;Yiming Jiang;Zhijun Li;Wei He.
IEEE Transactions on Industrial Informatics (2017)
Neural network-based motion control of an underactuated wheeled inverted pendulum model.
Chenguang Yang;Zhijun Li;Rongxin Cui;Bugong Xu.
IEEE Transactions on Neural Networks (2014)
Teleoperation Control Based on Combination of Wave Variable and Neural Networks
Chenguang Yang;Xingjian Wang;Zhijun Li;Yanan Li.
IEEE Transactions on Systems, Man, and Cybernetics (2017)
Trajectory-Tracking Control of Mobile Robot Systems Incorporating Neural-Dynamic Optimized Model Predictive Approach
Zhijun Li;Jun Deng;Renquan Lu;Yong Xu.
systems man and cybernetics (2016)
Trajectory Planning and Optimized Adaptive Control for a Class of Wheeled Inverted Pendulum Vehicle Models
Chenguang Yang;Zhijun Li;Jing Li.
IEEE Transactions on Systems, Man, and Cybernetics (2013)
Adaptive Parameter Estimation and Control Design for Robot Manipulators With Finite-Time Convergence
Chenguang Yang;Yiming Jiang;Wei He;Jing Na.
IEEE Transactions on Industrial Electronics (2018)
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
Derong Liu;Murad Abu-Khalaf;Adel M. Alimi;Charles Anderson.
Adaptive Robust Motion/Force Control of Holonomic-Constrained Nonholonomic Mobile Manipulators
Zhijun Li;S.S. Ge;Aiguo Ming.
systems man and cybernetics (2007)
Brief paper: Adaptive robust coordinated control of multiple mobile manipulators interacting with rigid environments
Zhijun Li;Jianxun Li;Yu Kang.
Adaptive Impedance Control for an Upper Limb Robotic Exoskeleton Using Biological Signals
Zhijun Li;Zhicong Huang;Wei He;Chun-Yi Su.
IEEE Transactions on Industrial Electronics (2017)
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