What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Mathematical optimization
Xiangpeng Xie mostly deals with Control theory, Fuzzy control system, Fuzzy logic, Fuzzy number and Mathematical optimization.
The Control theory study combines topics in areas such as Distributed generation and Transmission time.
His Fuzzy control system study integrates concerns from other disciplines, such as Discrete time and continuous time and Lyapunov stability, Nonlinear system.
Xiangpeng Xie performs multidisciplinary study in the fields of Fuzzy logic and Weighting via his papers.
Xiangpeng Xie usually deals with Mathematical optimization and limits it to topics linked to Lyapunov function and Neuro-fuzzy.
His Defuzzification research is multidisciplinary, incorporating perspectives in Observer and Fuzzy associative matrix.
His most cited work include:
- Control Synthesis of Discrete-Time T–S Fuzzy Systems via a Multi-Instant Homogenous Polynomial Approach (190 citations)
- Control Synthesis of Discrete-Time T–S Fuzzy Systems Based on a Novel Non-PDC Control Scheme (142 citations)
- Observer-Based Non-PDC Control for Networked T–S Fuzzy Systems With an Event-Triggered Communication (133 citations)
What are the main themes of his work throughout his whole career to date?
Control theory, Nonlinear system, Fuzzy logic, Fuzzy control system and Control theory are his primary areas of study.
His study in Artificial neural network extends to Control theory with its themes.
His Nonlinear system study incorporates themes from Function, Control system and Bounded function.
His research integrates issues of Nonlinear control and Mathematical optimization in his study of Fuzzy logic.
His work carried out in the field of Fuzzy control system brings together such families of science as Lyapunov stability, Slack variable and Scheduling.
His work in Control theory addresses subjects such as Actuator, which are connected to disciplines such as Control engineering.
He most often published in these fields:
- Control theory (74.52%)
- Nonlinear system (38.85%)
- Fuzzy logic (31.85%)
What were the highlights of his more recent work (between 2020-2021)?
- Control theory (74.52%)
- Nonlinear system (38.85%)
- Control theory (21.02%)
In recent papers he was focusing on the following fields of study:
Xiangpeng Xie mainly investigates Control theory, Nonlinear system, Control theory, Artificial neural network and Bounded function.
His studies deal with areas such as Fuzzy logic and Synchronization as well as Control theory.
His research in Synchronization intersects with topics in Upper and lower bounds and Fuzzy control system.
His Nonlinear system study combines topics in areas such as Function and Finite time.
His Control theory study integrates concerns from other disciplines, such as Fault tolerance and Actuator.
His Artificial neural network research incorporates elements of Lyapunov function and Adaptive system.
Between 2020 and 2021, his most popular works were:
- A Hierarchical Event Detection Method Based on Spectral Theory of Multidimensional Matrix for Power System (16 citations)
- Resilient H ∞ Filtering for Event-Triggered Networked Systems Under Nonperiodic DoS Jamming Attacks (15 citations)
- Hybrid-triggered-based security controller design for networked control system under multiple cyber attacks (6 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Computer network
Xiangpeng Xie focuses on Data mining, Security controls, System model, Process and Topology.
His work deals with themes such as Network topology, Electric power system and Cluster analysis, which intersect with Data mining.
His research integrates issues of Computer network, Lyapunov stability and Networked control system in his study of Security controls.
His System model research is multidisciplinary, relying on both Information integration, Robust control, Control, DC motor and Replay attack.
His Process study spans across into fields like Gradient descent, Particle swarm optimization, Pipeline, Variety and Generative grammar.
He combines topics linked to Exponential stability with his work on Topology.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
