Fernando Castaño

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—This paper describes an improved design procedure for the weighting matrices of the mixed sensitivity problem. Using low-order models, as usual in industrial processes, and based on recent works, the new design will allow to significantly reduce the time response overshoots, without degrading the speed of these responses. Weighting matrices are designed in(More)
This paper presents a self-learning strategy for an artificial cognitive control based on a reinforcement learning strategy, in particular, an on-line version of a Q-learning algorithm. One architecture for artificial cognitive control was initially reported in [1], but without an effective self-learning strategy in order to deal with nonlinear and time(More)
This paper presents the application of a hybrid incremental modeling strategy (HIM) for real-time estimation of surface roughness in micromachining processes. This strategy essentially consists of two steps. First, a representative hybrid incremental model of micromachining process is obtained. The final result of this model describes output as a function(More)
This paper presents one strategy for modeling and optimization of a microdilling process. Experimental work has been carried out for measuring the thrust force for five different commonly used alloys, under several cutting conditions. An artificial neural network-based model was implemented for modelling the thrust force. Neural model showed a high goodness(More)
This paper presents the modeling of thrust force and perpendicular vibrations in micro drilling processes of five commonly used alloys (titanium-based, tungsten-based, aluminum-based and invar). The process was carried out by peck drilling and the influence of five parameters (drill diameter, cutting speed, feed rate, one-step feed length and total drilling(More)
In Argentina, susceptibility of the sunflower crop to Sclerotinia sclerotiorum capitulum attacks can cause significant yield losses. We reported earlier two hybrids among a series obtained from crosses between inbred lines following a factorial mating design that had a sufficient level of resistance to be adapted to the main Argentina sunflower growing(More)
This paper describes the design of a multivariable robust controller for a drying process. The plant consists of a co-current rotary dryer to evaporate moisture from a waste product. A methodology to design a multivariable QFT controller and pre-filter is shown. The performance obtained with this control strategy has been validated under simulation.
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