Robust Adaptive Fuzzy Tracking Control for Pure-Feedback Stochastic Nonlinear Systems With Input Constraints
By Huanqing Wang, Bing Chen, Xiaoping Liu, Kefu Liu, Chong Lin. IEEE Transactions on Cybernetics, 2013
425 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/74f061e1e96e3ab7061e75678e611df8ef91a4fd
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In Artificial Intelligence
In Computational Theory and Mathematics
- Shaocheng Tong
- Yong-ming Li
- Chun Lung Philip Chen
- Lihua Xie
- Tie-shan Li
- Mou Chen
- Shuzhi Sam Ge
- Yanjun Liu
In Control and Systems Engineering
Citations in the corpus
- Observer-Based Adaptive Fuzzy Tracking Control of MIMO Stochastic Nonlinear Systems With Unknown Control Directions and Unknown Dead Zones (2015, background): “[33], [34] investigated adaptive fuzzy state feedback control problems for a class of stochastic nonlinear systems with unknown hysteresis and saturation, respectively, and Yu et al.”
- Fuzzy Adaptive Quantized Control for a Class of Stochastic Nonlinear Uncertain Systems (2016, methodology): “By using the fuzzy logic systems or neural networks’ universal approximation ability, such restrictions have been removed in conventional fuzzy adaptive design [16]–[36].”
- Adaptive Trajectory Tracking Control of a Fully Actuated Surface Vessel With Asymmetrically Constrained Input and Output (2018, methodology): “In order to apply the backstepping technique, a new model is defined to describe the saturation nonlinearity similar to the method proposed in [21] and [24].”