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Showing 1 to 5 of 5 for “"long range prediction"”.

  1. Long-range predictability of high-dimensional chaotic dynamics

    This thesis concerns the long range prediction of high dimensional chaotic systems. To this end, I investigate the important relationship between predictability and non-uniformity of information loss throughout the state space of a chaotic system. I introduce a genetic algorithm to build predictive …

    uiuc Repository record for Long-range predictability of high-dimensional chaotic dynamics (opens in a new tab)

  2. Long range predictability of high dimensional chaotic dynamics

    This thesis concerns the long range prediction of high dimensional chaotic systems. To this end, I investigate the important relationship between predictability and non-uniformity of information loss throughout the state space of a chaotic system. I introduce a genetic algorithm to build predictive …

    uiuc Repository record for Long range predictability of high dimensional chaotic dynamics (opens in a new tab)

  3. Robust self-tuning predictive control for industrial applications

    … Predictive Control (GPC) algorithm based on long range prediction, has been successfully tested in a wide range of industrial control applications. The complicated nature of the GPC algorithm, however, makes it very difficult to apply to it the standard analytical robustness techniques. A …

    uiuc Repository record for Robust self-tuning predictive control for industrial applications (opens in a new tab)

  4. Development of Adaptive and Factorized Neural Models for MPC of Industrial Systems

    … model adaptation; model factorization and fast long-range prediction; and MPC for the PEMFC stack system. The adaptive RBF model employs the recursive orthogonal least squares (ROLS) algorithm for both structure and parameter adaptation. In decomposing the regression matrix of the RBF model, the …

    liverpool-jm Repository record for Development of Adaptive and Factorized Neural Models for MPC of Industrial Systems (opens in a new tab)

  5. Modulation of South African summer rainfall by global climatic processes

    … in sea surface temperature (SST), outgoing longwave radiation (OLR) and tropospheric winds. OLR is used as a proxy for convective intensity and for the identification of areas of sympathy and opposition to convection over South Africa. Wind data (and derived parameters) are employed to …

    cape-town Repository record for Modulation of South African summer rainfall by global climatic processes (opens in a new tab)