Stochastic Distribution Control System Design A Convex Optimization Approach /

• Main Authors: Guo, Lei. (Author), Wang, Hong. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: London : Springer London, 2010.
• Series: Advances in Industrial Control,
• Subjects: Engineering.; Chemical engineering.; Distribution (Probability theory).; Machinery.; System safety.; Control.; Probability Theory and Stochastic Processes.; Industrial Chemistry/Chemical Engineering.; Manufacturing, Machines, Tools.; Quality Control, Reliability, Safety and Risk.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-84996-030-4

Stochastic distribution control (SDC) systems are widely seen in practical industrial processes, the aim of the controller design being generation of output probability density functions for non-Gaussian systems. Examples of SDC processes are: particle-size-distribution control in chemical engineeri...

Table of Contents:

• Introduction
• Basic Stochastic Distribution Control Systems: Modelling and Controller Design Tools
• PDF Tracking Control with PID Structure for Non-Gaussian Continuous System
• PDF Tracking Control with PID Structure for Non-Gaussian Discrete-time Systems
• Statistic Tracking Control: A Multi-objective Optimization Algorithm
• Optimal Output Probability Density Function Control for Nonlinear ARMAX Stochastic Systems
• FDD for Non-Gaussian Continuous Systems Based on Output PDFs
• Optimal FDD for Non-Gaussian Time-delayed Systems Based on Output PDFs
• Optimal FDD for Non-Gaussian Discrete Systems Based on Output PDFs
• Entropy Optimization Filtering for Fault Isolation of Non-Gaussian Systems
• Conclusions.