Advances in Fuzzy Control
Model-based fuzzy control uses a given conventional or a fuzzy open loop of the plant under control in order to derive the set of fuzzy if-then rules constituting the corresponding fuzzy controller. Furthermore, of central interest are the consequent stability, performance, and robustness analysis o...
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Other Authors: | , |
Format: | Electronic eBook |
Language: | English |
Published: |
Heidelberg :
Physica-Verlag HD : Imprint: Physica,
1998.
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Edition: | 1st ed. 1998. |
Series: | Studies in Fuzziness and Soft Computing,
16 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Stability Analysis of Fuzzy Models
- Global Stability Analysis of Second-Order Fuzzy Systems
- Quadratic Stability of Continuous-Time Fuzzy Control Systems
- Fuzzy Stability Analysis of Fuzzy Systems: A Lyapunov Approach
- Inverse Fuzzy Models
- Inverse Fuzzy Process Models for Robust Hybrid Control
- Inverse Fuzzy Model Based Predictive Control
- Adaptive Fuzzy Control
- Stable Adaptive Control Using Fuzzy Systems and Neural Networks
- An Adaptive Fuzzy Sliding-Mode Controller
- Discrete-Time Adaptive Fuzzy Logic Control of Feedback Linearizable Systems
- Fuzzy Model Reference Learning Control
- Predictive Fuzzy Control
- Development of a Fuzzy Relational-Based Predictive Controller
- A Simplified Fuzzy Relational Structure for Adaptive Predictive Control
- Predictive Control Based on a Fuzzy Model
- Gain Scheduled Fuzzy Control
- Transient Performance, Robustness and Off-Equilibrium Linearisation in Fuzzy Gain Scheduled Control
- Design of Fuzzy Gain Schedulers.