Application of Particle Swarm Optimization to Parameter Estimation of a McKibben Pneumatic Artificial Muscle Model

In this study, the authors apply particle swarm optimization to estimate the unknown parameters of a McKibben pneumatic artificial muscle model. The estimation results show that the best parameters are obtained without trial and error of the heuristic method.

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