4 papers
From Parametric Model-based Optimization to robust PID Gain Scheduling
Minh Hoang-Tuan Nguyen, Kok Kiong Tan
In chemical process applications, model predictive control effectively deals with input and state constraints during transient operations. However, industrial PID controllers direc…
Enhanced Predictive Ratio Control of Interacting Systems
Minh Hoang-Tuan Nguyen, Kok Kiong Tan, Sunan Huang
Ratio control for two interacting processes is proposed with a PID feedforward design based on model predictive control (MPC) scheme. At each sampling instant, the MPC control acti…
Robust Precision Positioning Control on Linear Ultrasonic Motor
Minh H-T Nguyen, Kok Kiong Tan, Wenyu Liang +1
Ultrasonic motors used in high-precision mechatronics are characterized by strong frictional effects, which are among the main problems in precision motion control. The traditional…
Learning Locality-Constrained Collaborative Representation for Face Recognition
Xi Peng, Lei Zhang, Zhang Yi +1
The model of low-dimensional manifold and sparse representation are two well-known concise models that suggest each data can be described by a few characteristics. Manifold learnin…