title: Fuzzy control of ionic polymer-metal composites.
abstract: 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.
authors.affiliation: Tehran University, Tehran, Iran. h.haris@me.ut.ac.ir
authors.forename: H
authors.initials: H
authors.lastname: Khadivi
authors.forename: B S
authors.initials: BS
authors.lastname: Aghazadeh
authors.forename: C
authors.initials: C
authors.lastname: Lucas
mesh_terms: D000465:Algorithms; D000818:Animals; D003188:Composite Resins; D006801:Humans; D007477:Ions; D008422:Materials Testing / Q000379:methods; D008670:Metals; D008954:Models, Biological
chemical_list: D003188:Composite Resins; D007477:Ions; D008670:Metals