Quality-Related Process Monitoring Based on Total Kernel PLS Model and Its Industrial Application

${\cal H}_{\infty}$ Step Tracking Control for Networked Discrete-Time Nonlinear Systems With Integral and Predictive Actions

(2012) Hui Zhang et al.   IEEE Transactions on Industrial Informatics

A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process

(2012) Shen Yin et al.   JOURNAL OF PROCESS CONTROL

On-line batch process monitoring using hierarchical kernel partial least squares

(2011) Yingwei Zhang et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

A nonlinear kernel Gaussian mixture model based inferential monitoring approach for fault detection and diagnosis of chemical processes

(2011) Jie Yu   CHEMICAL ENGINEERING SCIENCE

On ${\cal H}_{\infty }$ Filtering for Discrete-Time Takagi–Sugeno Fuzzy Systems

(2011) Hui Zhang et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Localized Fisher discriminant analysis based complex chemical process monitoring

(2010) Jie Yu   AICHE JOURNAL

Generalized Reconstruction-Based Contributions for Output-Relevant Fault Diagnosis With Application to the Tennessee Eastman Process

(2010) Gang Li et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Output Relevant Fault Reconstruction and Fault Subspace Extraction in Total Projection to Latent Structures Models

(2010) Gang Li et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Geometric properties of partial least squares for process monitoring

(2009) Gang Li et al.   AUTOMATICA

Kernel partial robust M-regression as a flexible robust nonlinear modeling technique

(2009) Run-Da Jia et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Decentralized Fault Diagnosis of Large-Scale Processes Using Multiblock Kernel Partial Least Squares

(2009) Yingwei Zhang et al.   IEEE Transactions on Industrial Informatics

Multimode process monitoring with Bayesian inference-based finite Gaussian mixture models

(2008) Jie Yu et al.   AICHE JOURNAL