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Continuous CMAC-QRLS and Its Systolic Array

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Abstract

Conventionally, least mean square rule (LMS) is used to update the weights of cerebellar model articulation controller (CMAC). The algorithm of CMAC-RLS which applies recursive least square algorithm (RLS) to update the weights of CMAC has proved to be a good tool for modeling on line. Based on QR decomposition, a simplified algorithm of CMAC-RLS named CMAC-QRLS is brought forward next and its corresponding systolic array is also designed. Combining with B-splines, we further devise the systolic array of continuous CMAC-QRLS. The simulation results reveal the good performance of this proposed algorithm.

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Authors and Affiliations

  1. Department of Automation, University of Science and Technology of China, Hefei, 230027, P.R. China

    Ting Qin, Haitao Zhang, Zonghai Chen & Wei Xiang

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  1. Ting Qin
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  2. Haitao Zhang
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Correspondence to Ting Qin.

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Qin, T., Zhang, H., Chen, Z. et al. Continuous CMAC-QRLS and Its Systolic Array. Neural Process Lett 22, 1–16 (2005). https://doi.org/10.1007/s11063-004-2694-0

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