Stochastic Distribution Control System Design A Convex Optimization Approach /

• Main Authors: Guo, Lei (Author), Wang, Hong (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2010.
• Series: Advances in Industrial Control,
• Subjects: Engineering.; Chemical engineering.; Computer mathematics.; Probabilities.; Applied mathematics.; Engineering mathematics.; Control engineering.; Manufacturing industries.; Machines.; Tools.; Appl.Mathematics/Computational Methods of Engineering.; Computational Mathematics and Numerical Analysis.; Probability Theory and Stochastic Processes.; Control.; Industrial Chemistry/Chemical Engineering.; Manufacturing, Machines, Tools.

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:

• Developments in Stochastic Distribution Control Systems
• Developments in Stochastic Distribution Control Systems
• Structural Controller Design for Stochastic Distribution Control Systems
• Proportional Integral Derivative Control for Continuous-time Stochastic Systems
• Constrained Continuous-time Proportional Integral Derivative Control Based on Convex Algorithms
• Constrained Discrete-time Proportional Integral Control Based on Convex Algorithms
• Two-step Intelligent Optimization Modeling and Control for Stochastic Distribution Control Systems
• Adaptive Tracking Stochastic Distribution Control for Two-step Neural Network Models
• Constrained Adaptive Proportional Integral Tracking Control for Two-step Neural Network Models with Delays
• Constrained Proportional Integral Tracking Control for Takagi-Sugeno Fuzzy Model
• Statistical Tracking Control – Driven by Output Statistical Information Set
• Multiple-objective Statistical Tracking Control Based on Linear Matrix Inequalities
• Adaptive Statistical Tracking Control Based on Two-step Neural Networks with Time Delays
• Fault Detection and Diagnosis for Stochastic Distribution Control Systems
• Optimal Continuous-time Fault Detection Filtering
• Optimal Discrete-time Fault Detection and Diagnosis Filtering
• Conclusions
• Summary and Potential Applications.