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 Intell...

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Další autoři: Yu, Wen (Editor)
Médium: Livre numérique
Jazyk:Anglais
Vydáno: London : Springer London [20..].
Cham : Springer Nature
Vydání:1st ed. 2009.
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Poznámka: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Recent Advances in Intelligent Control Systems, Texte imprimé, 9781848825475
Obsah:
  • 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