Stochastic Distribution Control System Design A Convex Optimization Approach /

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Guo, Lei (Autor), Wang, Hong (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Advances in Industrial Control,
Temas:
Engineering mathematics.
Engineering-Data processing.
Mathematics-Data processing.
Probabilities.
Control engineering.
Chemistry, Technical.
Manufactures.
Mathematical and Computational Engineering Applications.
Computational Mathematics and Numerical Analysis.
Probability Theory.
Control and Systems Theory.
Industrial Chemistry.
Machines, Tools, Processes.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares