Fuzzy Control of Ionic Polymer-Metal Composites
| Autor: | H. Khadivi, Babak Seyed Aghazadeh, Caro Lucas |
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| Rok vydání: | 2007 |
| Předmět: |
Ions
Flexibility (engineering) Computer science Control engineering Fuzzy control system Composite Resins Models Biological Fuzzy logic Ionic polymer–metal composites chemistry.chemical_compound chemistry Metals Control theory Materials Testing Animals Humans ComputingMethodologies_GENERAL Actuator Algorithms |
| Zdroj: | 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. |
| ISSN: | 1557-170X |
| DOI: | 10.1109/iembs.2007.4353262 |
| Popis: | Ionic polymer-metal composites (IPMCs) have advantages of softness and flexibility to be used in biomedical applications. In this paper a fuzzy logic controller (FLC) has been designed for achieving the goal of tracking. Also co- evolutionary-based genetic algorithms technique has been employed to optimize membership functions and fuzzy rules. The simulation results show that fuzzy controller has higher performance in comparison with other controllers. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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