Controlling the operation of polymer reactors is a highly important task that aims at maximizing the production rate and the product quality and also minimizing the transition …
In this paper, linear parameter-varying (LPV) control is considered for a solution copolymerization reactor, which takes into account the time-varying nature of the parameters …
In this paper, a linear parameter-varying (LPV) model of a solution copolymerization reactor is developed by taking into consideration the time-varying nature of the parameters in the …
Two formulations of a nonlinear model predictive control scheme based on the second-order Volterra series model are presented. The first formulation determines the control action …
The main focus of this thesis is the development of continuous and discrete-time nonlinear model based controllers that effectively and efficiently address two major limitations in the …
A nonlinear model predictive control scheme based on the second-order Volterra model is presented. Formulations using successive substitution and direct solution of a nonlinear …
L Ozkan, MV Kothare… - Proceedings of the 2002 …, 2002 - ieeexplore.ieee.org
Presents an implementation of a model predictive control (MPC) algorithm using piecewise linear models on an industrial case study: solution copolymerization of methylmethacrylate …
Modeling and control of prototypical industrial polymerization processes are presented in the presence of disturbances and plant‐model mismatch. The process model consists of the …
WM Ling, DE Rivera - Journal of Process Control, 1998 - Elsevier
This paper presents a two-step method for control-relevant model reduction of Volterra series models. First, using the nonlinear IMC design as a basis, an explicit expression …