What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Mathematical analysis
Xiaoping Liu focuses on Control theory, Backstepping, Fuzzy control system, Fuzzy logic and Control theory.
The Control theory study combines topics in areas such as Fuzzy set and Bounded function.
His study in Fuzzy control system is interdisciplinary in nature, drawing from both Control system and Fuzzy number.
Nonlinear control is the focus of his Control theory research.
Xiaoping Liu interconnects Function and Adaptive system in the investigation of issues within Nonlinear system.
His Adaptive control study combines topics in areas such as Artificial neural network, Robust control and Stochastic neural network.
His most cited work include:
- Brief paper: Direct adaptive fuzzy control of nonlinear strict-feedback systems (455 citations)
- Robust Adaptive Fuzzy Tracking Control for Pure-Feedback Stochastic Nonlinear Systems With Input Constraints (302 citations)
- Adaptive Neural Control of Pure-Feedback Nonlinear Time-Delay Systems via Dynamic Surface Technique (253 citations)
What are the main themes of his work throughout his whole career to date?
Xiaoping Liu spends much of his time researching Control theory, Nonlinear system, Backstepping, Control theory and Fuzzy logic.
His research in Control theory intersects with topics in Artificial neural network and Bounded function.
His Nonlinear system research incorporates elements of Control, Tracking and Settling time.
His research integrates issues of Stability, State variable and Adaptive system in his study of Backstepping.
His study looks at the relationship between Control theory and topics such as Active queue management, which overlap with Sliding mode control.
Xiaoping Liu has researched Fuzzy logic in several fields, including Mathematical optimization and Actuator.
He most often published in these fields:
- Control theory (100.00%)
- Nonlinear system (68.83%)
- Backstepping (50.65%)
What were the highlights of his more recent work (between 2017-2021)?
- Control theory (100.00%)
- Nonlinear system (68.83%)
- Backstepping (50.65%)
In recent papers he was focusing on the following fields of study:
Xiaoping Liu mainly investigates Control theory, Nonlinear system, Backstepping, Control theory and Tracking error.
His work carried out in the field of Control theory brings together such families of science as Artificial neural network, Control, Bounded function and Fuzzy logic.
His work on Adaptive control as part of his general Nonlinear system study is frequently connected to Funnel, thereby bridging the divide between different branches of science.
His Backstepping course of study focuses on Active queue management and Packet loss.
In Control theory, Xiaoping Liu works on issues like Adaptive system, which are connected to Interval.
His Tracking error research is multidisciplinary, incorporating elements of Network congestion and Lyapunov stability.
Between 2017 and 2021, his most popular works were:
- Finite-Time Adaptive Fuzzy Tracking Control Design for Nonlinear Systems (141 citations)
- Observer and Adaptive Fuzzy Control Design for Nonlinear Strict-Feedback Systems With Unknown Virtual Control Coefficients (99 citations)
- Adaptive Fuzzy Finite-Time Control of Nonlinear Systems With Actuator Faults (82 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Mathematical analysis
The scientist’s investigation covers issues in Control theory, Nonlinear system, Control theory, Backstepping and Artificial neural network.
His research ties Bounded function and Control theory together.
His Nonlinear system research incorporates themes from Function, Control, Mathematical optimization and Settling time.
His Control theory research is mostly focused on the topic Tracking error.
Many of his studies on Backstepping involve topics that are commonly interrelated, such as Fuzzy logic.
Xiaoping Liu is interested in Fuzzy control system, which is a field of Fuzzy logic.
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