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- W2890786738 abstract "This study proposes a systematic and efficient algorithm for extending the original hybrid PAM model to obtain a load-dependent model of the McKibben pneumatic artificial muscle (PAM). This algorithm consists of the following two phases: a particle-swarm-optimization (PSO)-based algorithm to find adequate model parameters and a curve fitting algorithm to develop the continuous function of a mass of loaded weight for each load-dependent parameter. Parameter estimation and curve fitting are performed to demonstrate that the proposed algorithm is appropriate and effective." @default.
- W2890786738 created "2018-09-27" @default.
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- W2890786738 date "2018-07-01" @default.
- W2890786738 modified "2023-09-26" @default.
- W2890786738 title "Efficient Algorithm for Constructing a Load-Dependent McKibben Pneumatic Artificial Muscle Model" @default.
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- W2890786738 doi "https://doi.org/10.1109/aim.2018.8452366" @default.
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