Sunan Huang mainly focuses on Control theory, Adaptive control, Control engineering, Nonlinear system and Artificial neural network. His Control theory research is multidisciplinary, incorporating perspectives in Fault detection and isolation and Motion control. His research is interdisciplinary, bridging the disciplines of Robust control and Adaptive control.
He combines subjects such as Control system, Injector, Actuator and System identification with his study of Control engineering. His Nonlinear system study combines topics from a wide range of disciplines, such as Observer and Stability. His study in the field of Radial basis function is also linked to topics like Scale.
His main research concerns Control theory, Control engineering, Adaptive control, Control theory and Artificial neural network. His work on Control theory is being expanded to include thematically relevant topics such as Motion control. His work carried out in the field of Control engineering brings together such families of science as Control, Actuator and Fault detection and isolation.
His Adaptive control study combines topics in areas such as Linear model, Adaptive algorithm and Automatic control. His Control theory research integrates issues from Model predictive control, Convergence, Cruise control, Decentralised system and Robot. His studies deal with areas such as Stability, Mechanical system and Algorithm as well as Artificial neural network.
Sunan Huang mostly deals with Real-time computing, Control, Collision avoidance, Motion planning and Control theory. His studies examine the connections between Real-time computing and genetics, as well as such issues in Information fusion, with regards to Protocol. His Control study incorporates themes from Control engineering, Robot, Key and Mathematical optimization.
His study explores the link between Control engineering and topics such as Automation that cross with problems in Nonlinear system. Sunan Huang works mostly in the field of Motion planning, limiting it down to concerns involving Trajectory and, occasionally, Model predictive control. Sunan Huang is interested in Nonlinear model, which is a branch of Control theory.
The scientist’s investigation covers issues in Motion planning, Control, Collision avoidance, Real-time computing and Simulation. His study in Collision avoidance is interdisciplinary in nature, drawing from both Information fusion, Key and Systems engineering. The Simulation study combines topics in areas such as Motion controller, System model, Ultrasonic motor, Estimator and Mechatronics.
Motion controller is closely attributed to Control theory in his work. His work on Compensation as part of general Control theory research is frequently linked to Contact force, thereby connecting diverse disciplines of science. His research in Compensation tackles topics such as Nonlinear system which are related to areas like Trajectory and Mathematical optimization.
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Robust adaptive numerical compensation for friction and force ripple in permanent-magnet linear motors
K.K. Tan;S.N. Huang;T.H. Lee.
IEEE Transactions on Magnetics (2002)
Human–Robot Interaction Control of Rehabilitation Robots With Series Elastic Actuators
Haoyong Yu;Sunan Huang;Gong Chen;Yongping Pan.
IEEE Transactions on Robotics (2015)
Decentralized control design for large-scale systems with strong interconnections using neural networks
Sunan Huang;Kok Kiong Tan;Tong Heng Lee.
IEEE Transactions on Automatic Control (2003)
Adaptive friction compensation using neural network approximations
S.N. Huang;K.K. Tan;T.H. Lee.
systems man and cybernetics (2000)
Vision-Servo System for Automated Cell Injection
Yi Zhang;Kok Kiong Tan;Sunan Huang.
IEEE Transactions on Industrial Electronics (2009)
Adaptive-predictive control of a class of SISO nonlinear systems
K. K. Tan;T. H. Lee;S. N. Huang;F. M. Leu.
Dynamics and Control (2001)
Adaptive Friction Compensation With a Dynamical Friction Model
Tong Heng Lee;Kok Kiong Tan;Sunan Huang.
IEEE-ASME Transactions on Mechatronics (2011)
Tool wear detection and fault diagnosis based on cutting force monitoring
S.N. Huang;K.K. Tan;Y.S. Wong;C.W. de Silva.
International Journal of Machine Tools & Manufacture (2007)
Brief Adaptive motion control using neural network approximations
S. N. Huang;K. K. Tan;T. H. Lee.
Friction modeling and adaptive compensation using a relay feedback approach
Kok Kiong Tan;T.H. Lee;S.N. Huang;Xi Jiang.
IEEE Transactions on Industrial Electronics (2001)
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