Luis T. Antelo

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In this work, a systematic approach to plant-wide control design is proposed. The approach combines ingredients from process networks, thermodynamics and systems theory to derive robust decentralized controllers that will ensure complete plant stability. The proposed methodology will be illustrated on a reactor network exhibiting complex behaviour.
To develop a species recognition system for a resettable trap using novel species identification techniques. Classical Eigenface based identification techniques are widely used in human faced detection domain. In this research Eigen faced based technique is used to identify the feral animals like Possums, cat and Weasels. When traditional Eigen faced(More)
The need of designing decentralized control loops emerges to ensure the global stability of a given process plant. To that purpose, the authors have proposed in recent works a systematic approach to derive robust decentralized controllers, which is based on the link between thermodynamics and passivity theory as well as on the fundamentals of process(More)
In this work we describe a conceptual approach which has been recently developed to design efficient decentralized control structures for flexible chemical plant operation. The approach combines concepts from thermodynamics, inventory networks and process control to construct a set of stable and robust decentralized control candidate structures. Such(More)
In this contribution we focus on the area of integration of process and control system design. The interaction of process design and control is formulated as a mixed-integer dynamic optimization (MIDO) problem and by using the control parameterization approach we obtain as a result a finite dimensional mixed-integer non-linear programming (MINLP) problem.(More)
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