Abstract
This work proposes an arctangent least mean square/fourth algorithm developed by incorporating the standard least mean square/fourth algorithm cost function with the arctangent framework for adaptive system identification. The performance of the proposed algorithm is verified through various simulations which shows that the proposed algorithm outperforms the conventional least mean square/fourth algorithm.
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Saha, S., Patnaik, A., Nanda, S. (2023). Arctangent Framework Based Least Mean Square/Fourth Algorithm for System Identification. In: Muthusamy, H., Botzheim, J., Nayak, R. (eds) Robotics, Control and Computer Vision. Lecture Notes in Electrical Engineering, vol 1009. Springer, Singapore. https://doi.org/10.1007/978-981-99-0236-1_27
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DOI: https://doi.org/10.1007/978-981-99-0236-1_27
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