Real-time optimization with persistent parameter adaptation (ropa) is an rto approach, where
the steady-state model parameters are updated dynamically using transient measurements …

Most real-time optimization (RTO) methods in process industries are based on rigorous
(mechanistic) models or on some special performance tests. Both methods are difficult to …

In this paper, we discuss the optimization of the operation of a reductive amination (RA)
reaction process in a miniplant without an accurate process model using iterative real-time …

Abstract Models of nonlinear dynamical systems are typically composed of unknown and
known parts due to the existence of mismatch between the true nonlinear system dynamics …

The concept of reaction variants and invariants for lumped reaction systems has been
known for several decades. Its applications encompass model identification, data …

With the energy problem becoming more and more prominent, high energy consumption of
the compressed air system (CAS) is widely concerned. Therefore, it is of great significance to …

The models of chemical and biological processes are typically composed of unknown and
known parts. This paper recalls a multivariable control strategy that deals explicitly with the …

This paper presents methods for experimental design, control, and optimization of perfusion
bioreactors as well as the vision for their integration. After describing a generic model of …