FORCE CONTROL OF A SHAPE MEMORY ALLOY SPRING ACTUATOR BASED ON INTERNAL ELECTRIC RESISTANCE FEEDBACK AND ARTIFICIAL NEURAL NETWORKS

Force Control of a Shape Memory Alloy Spring Actuator Based on Internal Electric Resistance Feedback and Artificial Neural Networks

This paper presents a study of the resistive behavior of a Shape Memory Alloy spring, with a focus on the application of electrical resistance feedback in control systems.Artificial Neural Networks of different topologies were designed to learn the relation between spring electrical resistance and the Minerals force exerted.The feedback between lay

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Applicability Analysis of Different Runoff Schemes of the Gulang River Basin in Arid Region of Gansu Province, China

[Background] Mountain torrent disasters are one of the deadliest weather-related natural disasters in the world, often causing extremely serious economic and property losses and casualties; in recent years, due to heavy rainfall and complex geological and geomorphological conditions, mountain torrent disasters have occurred frequently in Gansu Prov

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A novel circular intuitionistic fuzzy AHP&VIKOR methodology: An application to a multi-expert supplier evaluation problem

VIKOR method being one of the frequently used Multi-Criteria Decision Making (MCDM) methods, is based on the distances of alternatives to positive and negative ideal solutions, and presents compromising solutions.AHP is another MCDM method dividing the big problem into small and manageable problems Grater through pairwise comparisons of criteria an

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