What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Mathematical analysis
His scientific interests lie mostly in Control theory, Control theory, Fuzzy control system, Adaptive control and Nonlinear system.
His Control theory study incorporates themes from Artificial neural network, Fuzzy number, Defuzzification and Fuzzy logic.
His Control theory research includes themes of Steering wheel, Machine vision and Trajectory.
His Fuzzy control system research is multidisciplinary, incorporating elements of Fuzzy set and Mathematical optimization.
His Adaptive control research integrates issues from Nonlinear control, Open-loop controller, Lyapunov function and Observer.
In his work, Backpropagation and Artificial intelligence is strongly intertwined with Control system, which is a subfield of Nonlinear system.
His most cited work include:
- Observer-based adaptive fuzzy-neural control for unknown nonlinear dynamical systems (293 citations)
- Dynamical optimal training for interval type-2 fuzzy neural network (T2FNN) (214 citations)
- Observer-based direct adaptive fuzzy-neural control for nonaffine nonlinear systems (208 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Control theory, Control theory, Fuzzy control system, Adaptive control and Fuzzy logic.
His Control theory study integrates concerns from other disciplines, such as Control engineering and Artificial neural network.
Tsu-Tian Lee combines subjects such as Observer and Lyapunov function with his study of Control theory.
Fuzzy control system is a primary field of his research addressed under Artificial intelligence.
The various areas that Tsu-Tian Lee examines in his Adaptive control study include Stability and Lyapunov stability.
In his study, Stability is strongly linked to Describing function, which falls under the umbrella field of Fuzzy logic.
He most often published in these fields:
- Control theory (70.65%)
- Control theory (38.57%)
- Fuzzy control system (32.42%)
What were the highlights of his more recent work (between 2009-2019)?
- Control theory (70.65%)
- Control theory (38.57%)
- Control engineering (18.43%)
In recent papers he was focusing on the following fields of study:
Tsu-Tian Lee mostly deals with Control theory, Control theory, Control engineering, Adaptive control and Fuzzy control system.
His research is interdisciplinary, bridging the disciplines of Fuzzy logic and Control theory.
His Control theory research incorporates themes from Artificial neural network, Bounded function, Projection and Observer.
His research integrates issues of Automation, Process automation system, Mobile robot, Human-in-the-loop and Supervisory control in his study of Control engineering.
His research investigates the connection between Adaptive control and topics such as Robust control that intersect with problems in Adaptive neuro fuzzy inference system and Adaptive system.
His studies in Fuzzy control system integrate themes in fields like Control system and Sensor fusion.
Between 2009 and 2019, his most popular works were:
- Adaptive T-S fuzzy-neural modeling and control for general MIMO unknown nonaffine nonlinear systems using projection update laws (71 citations)
- Robust Adaptive Controller Design for a Class of Uncertain Nonlinear Systems Using Online T–S Fuzzy-Neural Modeling Approach (55 citations)
- Observer-Based T–S Fuzzy Control for a Class of General Nonaffine Nonlinear Systems Using Generalized Projection-Update Laws (46 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Mathematical analysis
His primary areas of investigation include Control theory, Control theory, Fuzzy control system, Adaptive control and Artificial neural network.
His research in Nonlinear system and Robustness are components of Control theory.
His work on Lyapunov function as part of general Nonlinear system study is frequently linked to MIMO, bridging the gap between disciplines.
Particularly relevant to Tracking error is his body of work in Control theory.
His Fuzzy control system research includes elements of Automation, Advanced driver assistance systems and Robust control.
His Adaptive control study combines topics from a wide range of disciplines, such as Electronic design automation, Automatic control, Human-in-the-loop, Process automation system and Supervisory control.
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