This paper presents a non-linear control scheme to deal with dead-time (DT) processes where small rise times are required. The control scheme is based on the combination of two strategies appeared in the literature to deal with DT processes, the Filtered Smith Predictor (FSP), which is a Smith Predictor (SP) including a filter to improve the robustness, and the PI+CI, a PI with a partial reset ...

A neural control strategy for nonlinear processes with time-variant time-delay is proposed in this paper. In this strategy, a dynamic neural network based nonlinear Smith predictor is constructed to compensate for the effect of time-delay of a class of nonlinear processes. An on-line optimizing controller is illustrated based on the neural Smith predictor. It is known that the performance of th...

In this paper, a modified Smith predictor in the presence of input and output disturbances as well as modeling uncertainty is investigated. The modified Smith predictor includes the feedforward Smith predictor and the compensator that approximates the inverse of time-delay. Assuming a multiplicative uncertainty, a robust stability criterion and a compensator design criterion are derived. The mo...

The motor system may use internal predictive models of the motor apparatus to achieve better control than would be possible by negative feedback. Several theories have proposed that the cerebellum may form these predictive representations. In this article, we review these theories and try to unify them by reference to an engineering control model known as a Smith Predictor. We suggest that the ...

The use of DMC in industry is very extended. Traditionally, its formulation has been based on the Dynamic Matrix model, obtained from the step response of the system. This work shows an alternative formulation that is based on a transfer function model, and divides the DMC into two parts: controller and predictor. This allows the easy substitution of one for another. Thus, SPDMC is obtained by ...