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Fault Detection and Diagnosis in Industrial Systems
TLDR
The appearance of this book is quite timely as it provides a much needed state-of-the-art exposition on fault detection and diagnosis, a topic of much interest to industrialists. Expand
On the "Identification and control of dynamical systems using neural networks"
Referring to the above said paper by Narendra-Parthasarathy (ibid., vol.1, p4-27 (1990)), it is noted that the given Example 2 (p.15) has a third equilibrium state corresponding to the point (0.5,Expand
A tutorial on linear and bilinear matrix inequalities
Abstract This is a tutorial on the mathematical theory and process control applications of linear matrix inequalities (LMIs) and bilinear matrix inequalities (BMIs). Many convex inequalities commonExpand
Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis
Abstract Principal component analysis (PCA) is the most commonly used dimensionality reduction technique for detecting and diagnosing faults in chemical processes. Although PCA contains certainExpand
Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes
TLDR
I. Introduction.- 1. Background.- 2. Multivariate Statistics.- 3. Methods.- 4. Principal Component Analysis.- 5. Fisher Discriminant Analysis. Expand
Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis
TLDR
We apply dynamic principal component analysis (DPCA) and canonical variate analysis (CVA) to the Tennessee Eastman process simulator to detect faults in a large-scale process. Expand
High resolution algorithms for multidimensional population balance equations
Population balance equations have been used to model a wide range of processes including polymerization, crystallization, cloud formation, and cell dynamics. Rather than developing new algorithmsExpand
Advanced control of crystallization processes
  • R. Braatz
  • Engineering, Computer Science
  • Annu. Rev. Control.
  • 2002
TLDR
An overview of recent developments in the control of crystallization processes, including activities in sensor technologies, model identification, experimental design, process simulation, robustness analysis, and optimal control. Expand
Modeling and Simulation of Lithium-Ion Batteries from a Systems Engineering Perspective
TLDR
The lithium-ion battery is an ideal candidate for a wide variety of applications due to its high energy/power density and operating voltage. Expand
Piecewise Linear Dynamic Programming for Constrained POMDPs
TLDR
We describe an exact dynamic programming update for constrained partially observable Markov decision processes (CPOMDPs) using a piecewise linear representation of the value function. Expand
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