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Modelica Based Grade Change Optimization for a Polyethylene Reactor

This paper presents a dynamic optimization procedure of grade changes of polyethylene production. The optimization is built upon a novel modular Modelica library containing e.g., non-linear DAE models for polyethylene reactors based on models currently used in nonlinear MPC of industrial reactors at Borealis AB. Using Optimica, which extends the Modelica language with constructs for optimization p

An exploration of leisure shopping in retail store environments: Illuminating meanings, manifoldness and dynamics in consumers shopping experiences

Shopping has since long been recognized as a possible source of enjoyment. It has been argued that consumers of today devote ever more of their spare time to shopping. Within the domain of marketing, scholars have been successful in outlining consumers' motives for engaging in shopping as a leisure-time enjoyment. Minor attention has however been devoted to explorations of how or why such shopping

Unified frameworks for sampled-data extremum seeking control: Global optimisation and multi-unit systems

Two frameworks are proposed for extremum seeking of general nonlinear plants based on a sampled-data control law, within which a broad class of nonlinear programming methods is accommodated. It is established that under some generic assumptions, semi-global practical convergence to a global extremum can be achieved. In the case where the extremum seeking algorithm satisfies a stronger asymptotic s