Multistep nonlinear predictive controller

Abstract

analysis of mass-transfer characteristics will be discussed in a later publication.

Nonlinear analysis in process design

“…The IMC framework was the basiis for the earliest nonlinear control algorithms, including industria model predictive control by Garcia and Prett (1986) and a 1 algorithm by Economou et al (1986) using operator theor!. Other extensions for nonlinear systems include a Newton-based method by Biegler (1988, 1989), universal dynamic matrix control (UDMC) by Morshedi (l986), collocation-based methods by Renfro et al (1987) and Patwardhan et al (1988), a nonlinear inferential algorithm by Parrish and Brosilow (1988), and a multistep nonlinear predictive controller by Brengel and Seider (1989).…”

“…As an example, Brengel and Seider (1989) show the ability of their nonlinear MPC to reject disturbances when operating the fermentation process, Figure 11, at an unstable steady state near the turning point.…”

Multivariable predictive control of a pressurized tank using neural networks

“…In most applications of techniques with predictive model, a linear model is used to predict the behavior of the process on the horizon of interest [7,8]. The majority of the real processes show a nonlinear behavior and some works have extended the techniques of the predictive control incorporating nonlinear models [9][10][11].…”

Constrained nonlinear MPC using hammerstein and wiener models: PLS framework

“…Constraints were incorporated through a quadratic programming (QP) formulation. Brengel and Seider (1989) proposed an NLMPC scheme using successive linearization of the model equations at each sampling interval. This involves analytical/numerical evaluation of the Jacobians and discretization.…”