1. A method to modify a model gain matrix for a model for a multivariable predictive control application implemented by a controller having at least one independent-dependent variable pair comprising: (a) choosing a logarithm base, (b) reading a model gain for an independent-dependent variable pair in the model gain matrix for a model for a multivariable predictive control application implemented by a controller, (c) taking an absolute value of the model gain, (d) taking a logarithm of the absolute value of the model gain of step (c) with the logarithm base chosen in step (a), (e) rounding the logarithm from step (d) to a fixed number of decimals to form a rounded logarithm of fixed number of decimals, (f) taking an anti-logarithm of the rounded logarithm from step (e) by taking the logarithm base from step (a) raised to a power of the rounded logarithm of fixed number of decimals from step (e), (g) multiplying the anti-logarithm of step (f) by −1 if the model gain was originally a negative number to determine a calculated gain, (h) using this calculated gain in a modified model gain matrix to modify the model gain matrix on said controller that implements the multivariable predictive control application, (i) repeating this method for other model gains in the same model, using the same logarithm base chosen in step (a) and the same fixed number of decimals in step (e).