What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Machine learning
His scientific interests lie mostly in Control theory, Artificial intelligence, Fuzzy control system, Nonlinear system and Control theory.
His work in the fields of Control theory, such as Vehicle dynamics, overlaps with other areas such as Invertible matrix.
He studies Artificial neural network, a branch of Artificial intelligence.
His Fuzzy control system research is included under the broader classification of Fuzzy logic.
His Fuzzy logic study incorporates themes from Tracking error and Data mining.
His work focuses on many connections between Control theory and other disciplines, such as Control system, that overlap with his field of interest in Adaptive control and Control engineering.
His most cited work include:
- Efficiently solving general weapon-target assignment problem by genetic algorithms with greedy eugenics (170 citations)
- An immunity-based ant colony optimization algorithm for solving weapon–target assignment problem (169 citations)
- Robust support vector regression networks for function approximation with outliers (161 citations)
What are the main themes of his work throughout his whole career to date?
Shun-Feng Su focuses on Control theory, Artificial intelligence, Fuzzy logic, Fuzzy control system and Control theory.
Adaptive control, Nonlinear system, Robust control, Lyapunov function and Robustness are among the areas of Control theory where the researcher is concentrating his efforts.
He combines subjects such as Machine learning, Computer vision and Pattern recognition with his study of Artificial intelligence.
His Machine learning research is multidisciplinary, incorporating perspectives in Training set and Outlier.
His Fuzzy control system research integrates issues from Tracking error, Mathematical optimization, Adaptive system and Estimator.
The study of Control theory is intertwined with the study of Control system in a number of ways.
He most often published in these fields:
- Control theory (44.95%)
- Artificial intelligence (35.32%)
- Fuzzy logic (28.90%)
What were the highlights of his more recent work (between 2017-2021)?
- Control theory (44.95%)
- Fuzzy logic (28.90%)
- Nonlinear system (16.51%)
In recent papers he was focusing on the following fields of study:
Shun-Feng Su spends much of his time researching Control theory, Fuzzy logic, Nonlinear system, Artificial intelligence and Fuzzy control system.
In his work, Adaptive control, Robustness, State observer and Control system is strongly intertwined with Bounded function, which is a subfield of Control theory.
The concepts of his Fuzzy logic study are interwoven with issues in Domain, Markov process, Lyapunov function, Actuator and Asynchronous communication.
His research investigates the link between Nonlinear system and topics such as Intelligent control that cross with problems in Computer simulation.
His Artificial intelligence research includes elements of Computer hardware, Computer vision and Pattern recognition.
Fuzzy control system connects with themes related to Adaptive system in his study.
Between 2017 and 2021, his most popular works were:
- Global Asymptotic Model-Free Trajectory-Independent Tracking Control of an Uncertain Marine Vehicle: An Adaptive Universe-Based Fuzzy Control Approach (105 citations)
- Accurate Trajectory Tracking of Disturbed Surface Vehicles: A Finite-Time Control Approach (79 citations)
- Adaptive Fuzzy Control With High-Order Barrier Lyapunov Functions for High-Order Uncertain Nonlinear Systems With Full-State Constraints (75 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Control theory
His main research concerns Control theory, Fuzzy control system, Nonlinear system, Fuzzy logic and Trajectory.
Control theory, Tracking error, Vehicle dynamics, Observer and Underactuation are subfields of Control theory in which his conducts study.
His study focuses on the intersection of Fuzzy control system and fields such as Lyapunov function with connections in the field of Integrator and Robot.
His work deals with themes such as Intelligent control and Adaptive system, which intersect with Nonlinear system.
His research in Fuzzy logic intersects with topics in Stochastic process, Correctness, Asynchronous communication, Hidden Markov model and Topology.
His Trajectory study also includes fields such as
- Tracking that connect with fields like Sliding mode control, Artificial neural network, Estimator and Manifold,
- Inverted pendulum and Estimation theory most often made with reference to Decoupling.
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