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Journal of the Franklin Institute, ‎0016-0032

Journal

1 - 7 out of 7Page size: 10
  1. Published

    Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation

    Kharrat, M., Krichen, M., Alhazmi, H. & Mercorelli, P., 01.2025, In: Journal of the Franklin Institute. 362, 2, 21 p., 107471.

    Research output: Journal contributions › Journal articles › Research › peer-review

  2. Published

    Optimal control strategies for PMSM with a decoupling super twisting SMC and inductance estimation in the presence of saturation

    Zwerger, T. & Mercorelli, P., 07.2024, In: Journal of the Franklin Institute. 361, 11, 30 p., 106934.

    Research output: Journal contributions › Journal articles › Research › peer-review

  3. Published

    A structural property of the wavelet packet transform method to localise incoherency of a signal

    Schimmack, M. & Mercorelli, P., 11.2019, In: Journal of the Franklin Institute. 356, 16, p. 10123-10137 15 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  4. Published

    A multi input sliding mode control for Peltier Cells using a cold-hot sliding surface

    Mironova, A., Mercorelli, P. & Zedler, A., 12.2018, In: Journal of the Franklin Institute. 355, 18, p. 9351-9373 23 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  5. Published

    Tracking control of a piezo-hydraulic actuator using input-output linearization and a Cascaded Extended Kalman Filter structure

    Haus, B., Aschemann, H. & Mercorelli, P., 12.2018, In: Journal of the Franklin Institute. 355, 18, p. 9298-9320 23 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  6. Published

    An on-line orthogonal wavelet denoising algorithm for high-resolution surface scans

    Schimmack, M. & Mercorelli, P., 12.2018, In: Journal of the Franklin Institute. 355, 18, p. 9245-9270 26 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  7. Biorthogonal wavelet trees in the classification of embedded signal classes for intelligent sensors using machine learning applications

    Mercorelli, P., 01.09.2007, In: Journal of the Franklin Institute. 344, 6, p. 813-829 17 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

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