A two-layer architecture for dynamic real-time optimization (or nonlinear modelpredictive
control (NMPC) with an economic objective) is presented, where the solution of the dynamic …

Nonlinear model-predictive control (NMPC) and dynamic real-time optimization (DRTO) lead
to a substantial improvement of the operation of complex nonlinear processes. Whereas the …

Dynamic optimization problems arise in many fields of engineering. Typically, they are
subject to models of differential-algebraic equations and further process constraints. To …

A formulation for the optimization of index-1 differential algebraic equation systems (DAEs)
is described that uses implicit functions to remove algebraic variables and equations from …

One approach to solve optimal control problems by direct methods is the so-called
sequential approach or single shooting. Only the control variables are discretized resulting …

Information on steady-state bifurcations, most notably stability boundaries, is frequently used
for the analysis and design of nonlinear systems. The bifurcation points separate regions …

An adjoint sensitivity method is presented for nonsmooth semiexplicit differential-algebraic
equation systems (NDAEs) of index 1. The adjoint sensitivity system is derived for a …

La contribution de cette thèse consiste à proposer une approche de contrôle prédictif des
systèmes dynamiques basée sur le calcul variationnel (équations d'Euler-Lagrange) et le …

Nonlinear dynamic optimization is a powerful tool for control and estimation in chemical
engineering for its ability to respect an equation-based model, satisfy inequality constraints …

The optimal operation of chemical processes is challenged by frequent transitions and by
the influence of process or model uncertainties. Under uncertainties, it is necessary to …