2021 - IEEE Fellow For contributions to modelling, analysis, and control for constrained robots
His primary areas of investigation include Control theory, Control theory, Control engineering, Control system and Repetitive control. As part of his studies on Control theory, Danwei Wang often connects relevant areas like Convergence. His Control theory research is multidisciplinary, incorporating perspectives in Artificial neural network, Intelligent control, Tracking and Mobile robot.
His research in Control engineering intersects with topics in Compensation, Robotics, Actuator, Artificial intelligence and Torque. His Control system study incorporates themes from Distributed algorithm, Robot and Computer network. His Repetitive control research is multidisciplinary, incorporating perspectives in Total harmonic distortion, Harmonic distribution, Harmonics, Pulse-width modulation and Rate of convergence.
Danwei Wang spends much of his time researching Control theory, Control engineering, Control theory, Iterative learning control and Robot. His study in Control theory concentrates on Nonlinear system, Control system, Repetitive control, Robustness and Tracking error. He studied Repetitive control and Pulse-width modulation that intersect with Converters and Electronic engineering.
His research integrates issues of Trajectory, Mobile robot and Fault detection and isolation in his study of Control engineering. His Control theory study combines topics in areas such as Motion control, Tracking, Stability and Attitude control. Danwei Wang has included themes like Active learning, Convergence, Iterative method, Frequency domain and Intelligent control in his Iterative learning control study.
His primary scientific interests are in Control theory, Robot, Artificial intelligence, Probabilistic logic and Computer vision. His biological study spans a wide range of topics, including Control engineering, Tracking and Bounded function. Danwei Wang interconnects Artificial neural network and Decentralised system in the investigation of issues within Control engineering.
His Robot study combines topics from a wide range of disciplines, such as Polishing and Human–computer interaction. His Artificial intelligence research includes elements of Machine learning and Pattern recognition. The various areas that he examines in his Angular velocity study include Control theory and Rigid body.
Danwei Wang mainly focuses on Control theory, Robot, Attitude control, Control engineering and Polishing. His work on Actuator, Control theory and Nonlinear system as part of general Control theory study is frequently linked to Collision avoidance, therefore connecting diverse disciplines of science. His Robot research incorporates elements of Probabilistic logic, Data mining and Sensor fusion.
His Attitude control study also includes
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Relationship between space-vector modulation and three-phase carrier-based PWM: a comprehensive analysis [three-phase inverters]
Keliang Zhou;Danwei Wang.
IEEE Transactions on Industrial Electronics (2002)
Feedback stabilization and tracking of constrained robots
N.H. McClamroch;D. Wang.
IEEE Transactions on Automatic Control (1988)
Linear Phase Lead Compensation Repetitive Control of a CVCF PWM Inverter
Bin Zhang;Danwei Wang;Keliang Zhou;Yigang Wang.
IEEE Transactions on Industrial Electronics (2008)
Digital repetitive controlled three-phase PWM rectifier
Keliang Zhou;D. Wang.
IEEE Transactions on Power Electronics (2003)
Digital repetitive learning controller for three-phase CVCF PWM inverter
Keliang Zhou;Danwei Wang.
IEEE Transactions on Industrial Electronics (2001)
Brief Iterative learning control with initial rectifying action
Mingxuan Sun;Danwei Wang.
DYNAMIC SURFACE CONTROL OF CONSTRAINED HYPERSONIC FLIGHT MODELS WITH PARAMETER ESTIMATION AND ACTUATOR COMPENSATION
Bin Xu;Xiyuan Huang;Danwei Wang;Fuchun Sun.
Asian Journal of Control (2014)
Modeling and Analysis of Skidding and Slipping in Wheeled Mobile Robots: Control Design Perspective
Danwei Wang;Chang Boon Low.
IEEE Transactions on Robotics (2008)
Zero-phase odd-harmonic repetitive controller for a single-phase PWM inverter
Keliang Zhou;Kay-Soon Low;D. Wang;Fang-Lin Luo.
IEEE Transactions on Power Electronics (2006)
Sparse Extreme Learning Machine for Classification
Zuo Bai;Guang-Bin Huang;Danwei Wang;Han Wang.
IEEE Transactions on Systems, Man, and Cybernetics (2014)
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