... in Refs. [ 28 ] and [ 34 – 37 ]. While finite element simulations can be used to model the relevant phenomena with high accuracy, their computational complexity and time-intensive nature make them less suitable for direct implementation into real-time controllers. In this study, we build on previous...

... nonlinear model predictive control offset-free tracking moving horizon estimation extended Kalman filter plant-model mismatch real-time control Industrial processes are known to be tightly integrated, highly nonlinear and well constrained. Nonlinear Model Predictive Control (NMPC) has become...

... the fundamental limitation of computational complexity in adopting optimal control formulations, we give up true optimality in return for suboptimal search schemes that achieve the required cooperative objectives and are implementable as online, real-time control. Previous work on this same problem can be found...

... the execution time of the control routine. It shows that in every 200 μ s sampling period, approximately 70 μ s is used for the real-time control, and the rest of the sampling period is used for nontime-critical background routines such as transferring and saving data. Thus, the present...