What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Nonlinear system
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.
His most cited work include:
- Observer-Based Adaptive Fuzzy Backstepping Control for a Class of Stochastic Nonlinear Strict-Feedback Systems (450 citations)
- Barrier Lyapunov Functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints (441 citations)
- Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems (436 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Control theory (98.51%)
- Nonlinear system (75.82%)
- Fuzzy logic (64.48%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (98.51%)
- Nonlinear system (75.82%)
- Backstepping (61.19%)
In recent papers he was focusing on the following fields of study:
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.
Between 2019 and 2021, his most popular works were:
- Observer-Based Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems With Unknown Control Gain Functions (94 citations)
- Integral Barrier Lyapunov function-based adaptive control for switched nonlinear systems (59 citations)
- Barrier Lyapunov Function-Based Adaptive Fuzzy FTC for Switched Systems and Its Applications to Resistance–Inductance–Capacitance Circuit System (54 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Algebra
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.
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