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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| Format: | Electronic |
| Language: | English |
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London :
Springer London,
2009.
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| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-84882-548-2 |
Table of Contents:
- Part I: Fuzzy Control
- Fuzzy Control of Large Civil Structures Subjected to Natural Hazards
- Approaches to Robust H-infinity Controller Synthesis of Nonlinear Discrete-time-delay Systems via Takagi-Sugeno Fuzzy Models
- H-infinity Fuzzy Control for Systems with Repeated Scalar Nonlinearities
- Stable Adaptive Compensation with Fuzzy Cerebellar Model Articulation for Overhead Cranes
- Part II: Neural Control
- Estimation and Control of Nonlinear Discrete-time Systems
- Neural Networks Based Probability Density Function Control for Stochastic Sytems
- 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
- Part III: 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
- Part IV: Intelligent Control
- Flow Control of Real-time Multimedia Applications in Best-effort Networks
- Online Synchronous Policy Iteration Method for Optimal Control.