His primary scientific interests are in Control theory, Nonlinear system, Artificial neural network, Adaptive control and Observer. Dan Wang frequently studies issues relating to Control engineering and Control theory. He has researched Nonlinear system in several fields, including Bounded function and Synchronization.
His research investigates the connection with Adaptive control and areas like Robust control which intersect with concerns in Mobile robot. His Observer research is multidisciplinary, relying on both Steady state, Synchronization networks and Identification. His biological study deals with issues like Nonlinear control, which deal with fields such as Tracking error.
The scientist’s investigation covers issues in Control theory, Artificial neural network, Control theory, Nonlinear system and Control engineering. Dan Wang focuses mostly in the field of Control theory, narrowing it down to matters related to Bounded function and, in some cases, Lyapunov stability. The various areas that Dan Wang examines in his Artificial neural network study include Control, Tracking, Robustness and Backstepping.
His study in the field of Underactuation also crosses realms of Kinematics, Modular design and MIMO. While the research belongs to areas of Nonlinear system, Dan Wang spends his time largely on the problem of Control system, intersecting his research to questions surrounding Actuator. He interconnects Vehicle dynamics and Mobile robot in the investigation of issues within Control engineering.
His primary areas of investigation include Control theory, Control theory, State observer, Nonlinear system and Kinematics. His research in Control theory intersects with topics in Artificial neural network, Differentiator and Model predictive control. His Artificial neural network research incorporates elements of Control system and Actuator.
His study in Control theory focuses on Adaptive control in particular. His Nonlinear system research is multidisciplinary, relying on both Observer and Multi-agent system. His research in Observer tackles topics such as Backstepping which are related to areas like Internal model.
His primary areas of investigation include Control theory, State observer, Vehicle dynamics, Lyapunov function and Control theory. In general Control theory, his work in Observer and Nonlinear system is often linked to Kinematics linking many areas of study. His Vehicle dynamics research is multidisciplinary, incorporating elements of Control system and Fuzzy logic.
His work deals with themes such as Salient, Trajectory, Dynamic positioning and Parameterized complexity, which intersect with Lyapunov function. His study in the field of Adaptive control is also linked to topics like Estimator. Dan Wang studied Bounded function and Artificial neural network that intersect with Torque.
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Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form
D. Wang;Jie Huang.
IEEE Transactions on Neural Networks (2005)
DSC Approach to Robust Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems
Tie-Shan Li;Dan Wang;Gang Feng;Shao-Cheng Tong.
fuzzy systems and knowledge discovery (2008)
Adaptive Dynamic Surface Control for Formations of Autonomous Surface Vehicles With Uncertain Dynamics
Zhouhua Peng;Dan Wang;Zhiyong Chen;Xiaojing Hu.
IEEE Transactions on Control Systems and Technology (2013)
Adaptive Neural Output Feedback Controller Design With Reduced-Order Observer for a Class of Uncertain Nonlinear SISO Systems
Yan-Jun Liu;Shao-Cheng Tong;Dan Wang;Tie-Shan Li.
IEEE Transactions on Neural Networks (2011)
Distributed neural network control for adaptive synchronization of uncertain dynamical multiagent systems.
Zhouhua Peng;Dan Wang;Hongwei Zhang;Gang Sun.
IEEE Transactions on Neural Networks (2014)
Distributed Maneuvering of Autonomous Surface Vehicles Based on Neurodynamic Optimization and Fuzzy Approximation
Zhouhua Peng;Jun Wang;Dan Wang.
IEEE Transactions on Control Systems and Technology (2018)
Neural network-based adaptive dynamic surface control of uncertain nonlinear pure-feedback systems
International Journal of Robust and Nonlinear Control (2011)
Distributed Containment Maneuvering of Multiple Marine Vessels via Neurodynamics-Based Output Feedback
Zhouhua Peng;Jun Wang;Dan Wang.
IEEE Transactions on Industrial Electronics (2017)
Output-Feedback Adaptive Neural Control for Stochastic Nonlinear Time-Varying Delay Systems With Unknown Control Directions
Tieshan Li;Zifu Li;Dan Wang;C. L. Philip Chen.
IEEE Transactions on Neural Networks (2015)
Containment control of networked autonomous underwater vehicles with model uncertainty and ocean disturbances guided by multiple leaders
Zhouhua Peng;Dan Wang;Yang Shi;Hao Wang.
Information Sciences (2015)
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