Area of research
Ocean Engineering · Artificial Intelligence
Research interest
Research interests include Computer science, Stiffness, Magnetorheological fluid, Magnetorheological elastomer, Structural engineering, and Damper.
Quality-related locally weighted soft sensing for non-stationary processes by a supervised Bayesian network with latent variables
Modelling and experimental evaluation of a variable stiffness MR suspension with self-powering capability
A practical INS/GPS/DVL/PS integrated navigation algorithm and its application on Autonomous Underwater Vehicle
Densely Connected Deep Extreme Learning Machine Algorithm
Soft Sensing Applications for Non-Stable Processes Based on a Weighted High-Order Dynamic Information Structure
Development of a variable stiffness magnetorheological damper with self-powered generation capability
Development of magnetorheological elastomers–based tuned mass damper for building protection from seismic events
A Novel Reaching Law for Sliding Mode Control of Uncertain Discrete-Time Systems
A Novel Exponential Reaching Law for Sliding Mode Control of Discrete-time System with Disturbance
Remote Sensing Image Scene Classification Based on Densely Connected Multilayer Kernel ELM
Development of an isolator working with magnetorheological elastomers and fluids
An innovative MRE absorber with double natural frequencies for wide frequency bandwidth vibration absorption
An inverted micro-mixer based on a magnetically-actuated cilium made of Fe doped PDMS
A Novel Fuzzy Sliding-Mode Control for Discrete-Time Uncertain System
A MapReduce-Based ELM for Regression in Big Data
A Compact Variable Stiffness and Damping Shock Absorber for Vehicle Suspension
Fabrication and Characterization of Magneto-Rheological Shear-Stiffened Elastomers