… control systems (NCS) for chemical processes, in a recent work7, we introduced a networked
control architecture for nonlinear processes, … , pre-existing control system uses continuous …

… and distributed predictive control systems for chemical processes described by non… predictive
control systems via Lyapunovbased control techniques accounting for networked control-…

… This paper focuses on the application of model predictive control techniques to nonlinear
systems. It provides a review of the main principles underlying NMPC and outlines the key …

… describe the process dynamics and nonlinear models have … nonlinear model predictive
control. This paper focuses on the application of model predictive control techniques to nonlinear …

… Abstract: This paper presents a Model Predictive Control (MPC) Technique for Nonlinear …
predictive controllers, like Dynamic Matrix Control (DMC) and Generalized Predictive Controller …

… Developing adequate nonlinear models may be very difficult and there is no model form
that is clearly suitable to represent general nonlinear processes. Nonlinear models are difficult …

… ment processes (WWTPs) are very difficult to control. In this paper, the design and
implementation of a nonlinear modelpredictive control (NMPC) system are discussed. The proposed …

… Control (Arulalan and Deshpande, 1987). … predictive control scheme that employs a
nonlinear process model. Instead of requiring a convolution model it can be applied to processes …

… Nonlinear systems have different structures and they all need different transformation …
predictive form. It will be shown for a wide class of nonlinear process models how the prediction …

… PID controllers are used to control highly nonlinear processes, the controllers must be tuned
… problem formulation is analogous to linear model predictive control except that a nonlinear …