Area of research
Control and Systems Engineering · Mechanical Engineering
Research interest
Research focused on Control theory (sociology) and Wind power, with related work in Induction generator, Algorithm, Autoregressive model. Notable publications include 'Parameter estimation algorithms for Hammerstein output error systems using Levenberg–Marquardt optimization method with varying interval measurements', 'On Generation Schedule Tracking of Wind Farms With Battery Energy Storage Systems', and 'A Recursive Identification Algorithm for Wiener Nonlinear Systems with Linear State-Space Subsystem'.
Advanced Fault Diagnosis Method for DC–DC Converters: Leveraging the Temporal Continuity of Electrical Signals
Fusion method of multi-layer perceptron and multi-innovation adaptive unscented Kalman filter for power battery state of charge estimation
ECGAN: An Efficient Diagnostic Strategy for Hidden Deterioration in DC-DC Converters
An anti-interference attention fusion network-based weld penetration state recognition with multimodal data
Consumer IoV: A Hybrid Deep Learning Model for Remaining Useful Life Prediction of Vehicle Battery
A Framework for Distributed Personalized Optimization in Cyber-Physical Systems via Multi-Parameter Fractional Dynamics
Nonsingular Terminal Sliding Mode Control of the Yarn Winding Process Based on a Finite-Time Extended State Observer
A Novel Fault Diagnosis Method for Multistage Conversion Circuits Based on Data Fusion
Space-Time Sampled-Data Control for Memristor- Based Reaction-Diffusion Neural Networks With Nonhomogeneous Sojourn Probabilities
Efficient Metal Corrosion Area Detection Model Combining Convolution and Transformer
An on-line weld inspection method for underwater offshore structure based on an improved deep convolutional network
Identification of multiple-input and single-output Hammerstein controlled autoregressive moving average system based on chaotic dynamic disturbance sand cat swarm optimization
Finite-time input-to-state stability and settling-time estimation of impulsive switched systems with multiple impulses
State-of-Health Estimation of Lithium-ion Batteries Based on Singular Value Decomposition and an Improved Group Method of Data Handling
DeepmdQCT: A multitask network with domain invariant features and comprehensive attention mechanism for quantitative computer tomography diagnosis of osteoporosis
Modal acoustic emission-based circumferential crack feature extractions for pipeline welds with L-shaped flexible sensor array
Predictive air combat decision model with segmented reward allocation
Sliding mode tension control for the yarn winding process with extended state observer
Recursive ensemble canonical variate analysis for online incipient fault detection in dynamic processes
Hierarchical Goal-Guided Learning for the Evasive Maneuver of Fixed-Wing UAVs based on Deep Reinforcement Learning
End to End Multitask Joint Learning Model for Osteoporosis Classification in CT Images
Parameter estimation of multiple‐input single‐output Hammerstein controlled autoregressive system based on improved adaptive moment estimation algorithm
SR-POSE: A Novel Non-Contact Real-Time Rehabilitation Evaluation Method Using Lightweight Technology
Parameter identification of fractional‐order Wiener system based on FF‐ESG and GI algorithms
Multi-Type Missing Imputation of Time-Series Power Equipment Monitoring Data Based on Moving Average Filter–Asymmetric Denoising Autoencoder
Fast Frequency Response of a DFIG Based on Variable Power Point Tracking Control
Hierarchical dynamic movement primitive for the smooth movement of robots based on deep reinforcement learning
Fault Detection and Identification Based on Explicit Polynomial Mapping and Combined Statistic in Nonlinear Dynamic Processes
Parameter Estimation of Wiener Systems Based on the Particle Swarm Iteration and Gradient Search Principle
Short-term frequency support of a doubly-fed induction generator based on an adaptive power reference function