Shaocheng Tong mainly investigates Control theory, Nonlinear system, Adaptive control, Fuzzy logic and Backstepping. His Fuzzy control system, State observer, Adaptive system, Adaptive neuro fuzzy inference system and Lyapunov function study are his primary interests in Control theory. His biological study spans a wide range of topics, including Fuzzy set and Robust control.
Shaocheng Tong has researched Nonlinear system in several fields, including Artificial neural network and Control theory. His Adaptive control research is multidisciplinary, incorporating elements of Control system and Mathematical optimization. His Backstepping study introduces a deeper knowledge of Control engineering.
Shaocheng Tong mainly focuses on Control theory, Nonlinear system, Fuzzy logic, Backstepping and Adaptive control. His research in Fuzzy control system, State observer, Adaptive neuro fuzzy inference system, Observer and Control theory are components of Control theory. His studies in Nonlinear system integrate themes in fields like Artificial neural network, Mathematical optimization and Adaptive system.
The Fuzzy logic study combines topics in areas such as Control system, Control, Decentralised system and Control engineering. His Backstepping research is multidisciplinary, relying on both Nonlinear control, Optimal control, Lyapunov stability and Actuator. His work carried out in the field of Adaptive control brings together such families of science as Stability, Discrete time and continuous time and Sliding mode control.
His primary areas of study are Control theory, Nonlinear system, Backstepping, Fuzzy logic and Lyapunov function. His research investigates the connection with Control theory and areas like Control which intersect with concerns in Fuzzy adaptive. His study in State observer and Adaptive control is done as part of Nonlinear system.
The concepts of his State observer study are interwoven with issues in Logarithm and Robustness. His research integrates issues of Observer and Optimal control in his study of Backstepping. His research in the fields of Fuzzy logic system overlaps with other disciplines such as Saturation.
Shaocheng Tong spends much of his time researching Control theory, Nonlinear system, Backstepping, Fuzzy logic and Control theory. Much of his study explores Control theory relationship to Artificial neural network. He studies Nonlinear system, focusing on State observer in particular.
His research in Backstepping tackles topics such as Lyapunov stability which are related to areas like State variable. His research on Fuzzy logic frequently connects to adjacent areas such as Observer. His Adaptive control study combines topics in areas such as Active suspension and LKFS.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
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)
Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems
Yan Jun Liu;Shaocheng Tong.
Barrier Lyapunov Functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints
Yan-Jun Liu;Shaocheng Tong.
Fuzzy Approximation-Based Adaptive Backstepping Optimal Control for a Class of Nonlinear Discrete-Time Systems With Dead-Zone
Yan-Jun Liu;Ying Gao;Shaocheng Tong;Yongming Li.
IEEE Transactions on Fuzzy Systems (2016)
Observer-Based Adaptive Fuzzy Backstepping Control for a Class of Stochastic Nonlinear Strict-Feedback Systems
Shaocheng Tong;Yue Li;Yongming Li;Yanjun Liu.
systems man and cybernetics (2011)
Adaptive Fuzzy Control Design for Stochastic Nonlinear Switched Systems With Arbitrary Switchings and Unmodeled Dynamics
Yongming Li;Shuai Sui;Shaocheng Tong.
IEEE Transactions on Systems, Man, and Cybernetics (2017)
Fuzzy adaptive sliding-mode control for MIMO nonlinear systems
Shaocheng Tong;Han-Xiong Li.
IEEE Transactions on Fuzzy Systems (2003)
Observed-Based Adaptive Fuzzy Decentralized Tracking Control for Switched Uncertain Nonlinear Large-Scale Systems With Dead Zones
Shaocheng Tong;Lili Zhang;Yongming Li.
systems man and cybernetics (2016)
A Combined Backstepping and Small-Gain Approach to Robust Adaptive Fuzzy Output Feedback Control
Shao-Cheng Tong;Xiang-Lei He;Hua-Guang Zhang.
IEEE Transactions on Fuzzy Systems (2009)
Fuzzy-Adaptive Decentralized Output-Feedback Control for Large-Scale Nonlinear Systems With Dynamical Uncertainties
Shaocheng Tong;Changliang Liu;Yongming Li.
IEEE Transactions on Fuzzy Systems (2010)
Profile was last updated on December 6th, 2021.
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