What is he best known for?
The fields of study he is best known for:
- Control theory
- Control theory
- Nonlinear system
Qi Zhou mostly deals with Control theory, Backstepping, Nonlinear system, Control theory and Fuzzy control system.
His study in Adaptive neuro fuzzy inference system, Adaptive system, Adaptive control, Tracking error and Dead zone is carried out as part of his Control theory studies.
The concepts of his Adaptive control study are interwoven with issues in Stability, Neuro-fuzzy, Lyapunov stability and Robot manipulator.
His Backstepping study typically links adjacent topics like Observer.
His studies in Control theory integrate themes in fields like Control system and Lyapunov function.
His Fuzzy control system research includes themes of Fuzzy number, Applied mathematics and State observer.
His most cited work include:
- Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Input Saturation and Output Constraint (259 citations)
- Adaptive Sliding Mode Control for Interval Type-2 Fuzzy Systems (206 citations)
- Adaptive Fuzzy Control of Nonlinear Systems With Unmodeled Dynamics and Input Saturation Using Small-Gain Approach (199 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Control theory, Nonlinear system, Control theory, Backstepping and Fuzzy control system.
His study in Adaptive control, Lyapunov stability, Observer, Adaptive system and Tracking error is done as part of Control theory.
His Nonlinear system research incorporates elements of Mathematical optimization, Control system, Actuator and Quantization.
In the subject of general Control theory, his work in Sliding mode control is often linked to State, thereby combining diverse domains of study.
His Backstepping study integrates concerns from other disciplines, such as State variable and Dead zone.
As a part of the same scientific family, Qi Zhou mostly works in the field of Fuzzy control system, focusing on Fuzzy number and, on occasion, Membership function and Fuzzy set operations.
He most often published in these fields:
- Control theory (110.00%)
- Nonlinear system (69.00%)
- Control theory (53.00%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (110.00%)
- Nonlinear system (69.00%)
- Control theory (53.00%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Control theory, Nonlinear system, Control theory, Lyapunov stability and Backstepping.
His study on Actuator, Fuzzy control system and Observer is often connected to Reinforcement learning and Stochastic process as part of broader study in Control theory.
His Nonlinear system study frequently draws connections between related disciplines such as Adaptive system.
His biological study deals with issues like Lyapunov function, which deal with fields such as Stability.
Qi Zhou performs integrative study on Backstepping and Bounded function.
His Adaptive control research is multidisciplinary, relying on both Full state and Dead zone.
Between 2019 and 2021, his most popular works were:
- Event-Triggered Consensus Control for Multi-Agent Systems Against False Data-Injection Attacks (66 citations)
- Adaptive Reinforcement Learning Neural Network Control for Uncertain Nonlinear System With Input Saturation (57 citations)
- Observer-Based Adaptive Event-Triggered Control for Nonstrict-Feedback Nonlinear Systems With Output Constraint and Actuator Failures (44 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Control theory
- Control engineering
The scientist’s investigation covers issues in Control theory, Nonlinear system, Backstepping, Stochastic process and Control theory.
His Nonlinear system study frequently draws connections between adjacent fields such as Adaptive system.
His research brings together the fields of Observer and Backstepping.
The Observer study combines topics in areas such as Control system, Adaptive control and Fuzzy control system.
His Stochastic process investigation overlaps with White noise, Symmetric matrix, Applied mathematics, Estimator and Fading.
His Control theory study incorporates themes from Lyapunov function and Actuator.
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