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Stochastic Distribution Control System Design A Convex Optimization Approach

Aus der Reihe Advances in Industrial Control
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93,99 € UVP 106,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.07.2012

Abbildungen

XVIII, 62 illus., schwarz-weiss Illustrationen

Verlag

Springer London

Seitenzahl

196

Maße (L/B/H)

23,5/15,5/1,2 cm

Gewicht

338 g

Auflage

2010

Sprache

Englisch

ISBN

978-1-4471-2559-4

Beschreibung

Rezension

From the reviews:

“The book deals with numerous methods of the design of stochastic distribution control systems. … It includes the recent results and presents the dynamic development of research in this field. Since the stochastic distribution control is an interesting approach as well from theoretical point of view as in many applications the publishing of this book seems to be very valuable. … The book provides complementary material for graduate courses.” (Leslaw Socha, Zentralblatt MATH, Vol. 1226, 2012)

Zitat

From the reviews: "The book deals with numerous methods of the design of stochastic distribution control systems. ... It includes the recent results and presents the dynamic development of research in this field. Since the stochastic distribution control is an interesting approach as well from theoretical point of view as in many applications the publishing of this book seems to be very valuable. ... The book provides complementary material for graduate courses." (Leslaw Socha, Zentralblatt MATH, Vol. 1226, 2012)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.07.2012

Abbildungen

XVIII, 62 illus., schwarz-weiss Illustrationen

Verlag

Springer London

Seitenzahl

196

Maße (L/B/H)

23,5/15,5/1,2 cm

Gewicht

338 g

Auflage

2010

Sprache

Englisch

ISBN

978-1-4471-2559-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Stochastic Distribution Control System Design
  • Produktbild: Stochastic Distribution Control System Design
  • 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.