Area of research
Electrical and Electronic Engineering · Control and Systems Engineering
Research interest
Research interests include Computer science, Artificial neural network, Control theory (sociology), Probabilistic neural network, Mathematical optimization, and Transformer.
A bi-Level collaborative optimization strategy for power quality in distribution networks based on fuzzy triple black hole multi-objective optimization algorithm
Bi-level optimization of novel distribution network with VPP and flexible load cluster
Integrated energy system scheduling model based on non-complete interval multi-objective fuzzy optimization
An optimized scheduling strategy combining robust optimization and rolling optimization to solve the uncertainty of RES-CCHP MG
Disturbance Observer-based Neural Network Integral Sliding Mode Control for a Constrained Flexible Joint Robotic Manipulator
Optimal configuration of improved dynamic carbon neutral energy systems based on hybrid energy storage and market incentives
Optimisation and analysis of an integrated energy system with hydrogen supply using solar spectral beam splitting pre-processing
Optimal configuration of double carbon energy system considering climate change
Multi-dimensions analysis of solar hybrid CCHP systems with redundant design
Optimal configuration of improved integrated energy system based on stepped carbon penalty response and improved power to gas
A Fault Diagnosis Model for Tennessee Eastman Processes Based on Feature Selection and Probabilistic Neural Network
Extended State Observer Based Adaptive Backstepping Nonsingular Fast Terminal Sliding-mode Control for Robotic Manipulators with Uncertainties
Backstepping Sliding Mode Control Based on Extended State Observer for Robotic Manipulators with LuGre Friction
Robust capacity optimization methods for integrated energy systems considering demand response and thermal comfort
Multi-objective optimal scheduling for CCHP microgrids considering peak-load reduction by augmented <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:mrow><mml:mi mathvariant="normal">ε</mml:mi></mml:mrow></mml:math>-constraint method
Transformer Fault Diagnosis Model Based on Improved Gray Wolf Optimizer and Probabilistic Neural Network
A Novel Transformers Fault Diagnosis Method Based on Probabilistic Neural Network and Bio-Inspired Optimizer
An Adaptive Fault-tolerant Control Method for Robot Manipulators
Novel Probabilistic Neural Network Models Combined with Dissolved Gas Analysis for Fault Diagnosis of Oil-Immersed Power Transformers
Fractional‐order adaptive non‐singular fast terminal sliding mode control with time delay estimation for robotic manipulators
An Inspired Machine-Learning Algorithm with a Hybrid Whale Optimization for Power Transformer PHM
A Hybrid machine‐learning method for oil‐immersed power transformer fault diagnosis
Ensemble Residual Networks for Short-Term Load Forecasting
BA-PNN-based methods for power transformer fault diagnosis
RBFNN-based nonsingular fast terminal sliding mode control for robotic manipulators including actuator dynamics
Disturbance Observer Based on Biologically Inspired Integral Sliding Mode Control for Trajectory Tracking of Mobile Robots
Fault Diagnosis in Chemical Processes Based on Class-Incremental FDA and PCA
Fault diagnosis in industrial chemical processes using optimal probabilistic neural network
Udwadia-Kalaba Approach for Three Link Manipulator Dynamics With Motion Constraints
Bio-Inspired PHM Model for Diagnostics of Faults in Power Transformers Using Dissolved Gas-in-Oil Data