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Recent Advances in Intelligent Control Systems

Intelligent control - control based on fuzzy logic and neural networks - has changed the face of industrial control engineering whether in terms of autonomous spacecraft operation, exploratory robots or increasing the profitability of mineral-processing or steel-rolling plants. Recent Advances in In...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Yu, Wen (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Fuzzy Control
  • Fuzzy Control of Large Civil Structures Subjected to Natural Hazards
  • Approaches to Robust ?? Controller Synthesis of Nonlinear Discrete-time-delay Systems via Takagi-Sugeno Fuzzy Models
  • ?? Fuzzy Control for Systems with Repeated Scalar Nonlinearities
  • Stable Adaptive Compensation with Fuzzy Cerebellar Model Articulation Controller for Overhead Cranes
  • Neural Control
  • Estimation and Control of Nonlinear Discrete-time Systems
  • Neural Networks Based Probability Density Function Control for Stochastic Systems
  • Hybrid Differential Neural Network Identifier for Partially Uncertain Hybrid Systems
  • Real-time Motion Planning of Kinematically Redundant Manipulators Using Recurrent Neural Networks
  • Adaptive Neural Control of Uncertain Multi-variable Nonlinear Systems with Saturation and Dead-zone
  • Fuzzy Neural Control
  • An Online Self-constructing Fuzzy Neural Network with Restrictive Growth
  • Nonlinear System Control Using Functional-link-based Neuro-fuzzy Networks
  • An Adaptive Neuro-fuzzy Controller for Robot Navigation
  • Intelligent Control
  • Flow Control of Real-time Multimedia Applications in Best-effort Networks
  • Online Synchronous Policy Iteration Method for Optimal Control.