Foundations Of Generic Optimization, Volume 2: Applications Of Fuzzy Control, Genetic Algorithms And Neural Networks (Mathematical Modelling: Theory And Applications, Volume 24)

Lowen Robert Et.Al

ISBN 10: 1402066678 / ISBN 13: 9781402066672

Editore: Springer, 2007

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Codice articolo ABEOCT25-154998

Dati bibliografici

• Titolo: Foundations Of Generic Optimization, Volume 2: Applications Of Fuzzy Control, Genetic Algorithms And Neural Networks (Mathematical Modelling: Theory And Applications, Volume 24)
• Editore: Springer
• Data di pubblicazione: 2007
• Lingua: Inglese
• ISBN 10: 1402066678
• ISBN 13: 9781402066672
• Rilegatura: Rilegato
• Condizione: Brand New

Descrizione articolo

Riassunto

This is a comprehensive overview of the basics of fuzzy control, which also brings together some recent research results in soft computing, in particular fuzzy logic using genetic algorithms and neural networks.

This book offers researchers not only a solid background but also a snapshot of the current state of the art in this field.

Contenuti

An Overview of Fuzzy Control Theory.- Optimal Fuzzy Management of Reservoir based on Genetic Algorithm.- Genetic Fuzzy Modeling of Supervisory Scheduling of Freight Rail Systems.- Multiobjective Evolutionary Search of Difference Equations-based Models for Understanding Chaotic Systems.- An Integrated Fuzzy Inference-based Monitoring, Diagnostic, and Prognostic System for Intelligent Control and Maintenance.- Stable Anti-Swing Control for an Overhead Crane with Velocity Estimation and Fuzzy Compensation.- Intelligent Fuzzy PID Controller.- Stability Analysis and Performance Design for Fuzzy Model-based Control Systems using a BMI-based Approach.- Two-Level Tuning of Fuzzy PID Controllers for Multivariable Process Systems.- Evaluation of Fuzzy Implications and Intuitive Criteria of GMP and GMT using MATLAB GUI.- FzController: A Development Environment for Fuzzy Controllers.- A Consistency Criterion for Optimizing Defuzzification in Fuzzy Control.- An Asymptotic Consistency Criterion for Optimizing Defuzzification in Fuzzy Control.