Abstract
A neuro-fuzzy learning algorithm is applied to design Takagi-Sugeno Fuzzy Controllers for a biped robot walking problem. The appropriate control signal is provided with a rule to switch between the controllers. A simulation of generation of walking motions is presented to illustrate the effectiveness of this approach.
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Cardenas-Maciel, S.L., Castillo, O., Aguilar, L.T. (2010). Neuro-Fuzzy Based Output Feedback Controller Design for Biped Robot Walking. In: Castillo, O., Kacprzyk, J., Pedrycz, W. (eds) Soft Computing for Intelligent Control and Mobile Robotics. Studies in Computational Intelligence, vol 318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15534-5_26
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DOI: https://doi.org/10.1007/978-3-642-15534-5_26
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