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Information Journal Paper

Title

APPROXIMATION OF FEEDBACK LINEARIZATION CONTROL INPUT BASED ON FUZZY WAVELET NETWORKS

Pages

  651-662

Abstract

 Based on the wavelet transform and fuzzy set theory, we present a fuzzy' wavelet network (FWN) for approximating FEEDBACK LINEARIZATION CONTROL INPUT. Each fuzzy rule corresponds to a sub-WAVELET NEURAL NETWORK (sub-WNN) consisting of wavelets with a specified dilation value. The degree of contribution of each sub-WNN can be controlled flexibly. The constructed rules used to approximate the control signal in which the mathematical model of the system under control is unknown can be adjusted by learning the translation parameters of the selected wavelets and determining the shape of Gaussian membership functions of a fuzzy system. The proposed FWN shows good approximation accuracy and fast convergence. Finally a nonlinear inverted pendulum system is applied to verify the effectiveness and ability of the proposed network.

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  • Cite

    APA: Copy

    ZEKRI, M., SADRI, S., & SHEYKH ALESLAM, F.. (2007). APPROXIMATION OF FEEDBACK LINEARIZATION CONTROL INPUT BASED ON FUZZY WAVELET NETWORKS. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING, 31(B6), 651-662. SID. https://sid.ir/paper/62385/en

    Vancouver: Copy

    ZEKRI M., SADRI S., SHEYKH ALESLAM F.. APPROXIMATION OF FEEDBACK LINEARIZATION CONTROL INPUT BASED ON FUZZY WAVELET NETWORKS. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING[Internet]. 2007;31(B6):651-662. Available from: https://sid.ir/paper/62385/en

    IEEE: Copy

    M. ZEKRI, S. SADRI, and F. SHEYKH ALESLAM, “APPROXIMATION OF FEEDBACK LINEARIZATION CONTROL INPUT BASED ON FUZZY WAVELET NETWORKS,” IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING, vol. 31, no. B6, pp. 651–662, 2007, [Online]. Available: https://sid.ir/paper/62385/en

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