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...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
London :
Springer London,
2009.
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
