Abstract: A vehicle/implement hitch control system is responsive to a wheel slip signal indicative of the slippage of the driven wheels of the vehicle. The control system generates an integrated slip signal using an integration function, generates a proportional slip signal using a proportional function, and generates a combined slip signal as a combination of the integrated slip signal and the proportional slip signal. An operator-controllable slip response adjuster generates slip response signals. A hitch control signal is generated as a function of the slip response signal and the combined slip signal, so that the operator can vary the response of the hitch control signal to the integrated slip signal, to a mixture of the integrated slip signal, and to various multiples of the proportional slip signal only.

Abstract: A method for providing independent static and dynamic models in a prediction, control and optimization environment utilizes an independent static model and an independent dynamic model. The static model is a rigorous predictive model that is trained over a wide range of data, whereas the dynamic model is trained over a narrow range of data. The gain K of the static model is utilized to scale the gain k of the dynamic model. The forced dynamic portion of the model referred to as the b.sub.i variables are scaled by the ratio of the gains K and k. The b.sub.i have a direct effect on the gain of a dynamic model. This is facilitated by a coefficient modification block. Thereafter, the difference between the new value input to the static model and the prior steady-state value is utilized as an input to the dynamic model. The predicted dynamic output is then summed with the previous steady-state value to provide a predicted value Y. Additionally, the path that is traversed between steady-state value changes.