Comments on "nonlinear H-infinity output feedback control with integrator for polynomial discrete-time systems'

[EN] This note points out that controllers resulting from Corollaries 3.1 and 3.2 and Theorem 3.1 in Saat and Nguang (Int. J. Robust Nonlinear Control 2013; 10.1002/rnc.3130) do not improve over the open-loop performance.The research in this area has been supported by the Spanish Government (MINECO) under research project DPI2011-27845-C02-01.Sala, A.; Pitarch Pérez, JL. (2015). Comments on "nonlinear H-infinity output feedback control with integrator for polynomial discrete-time systems'. International Journal of Robust and Nonlinear Control. 25(15):2869-2870. https://doi.org/10.1002/rnc.3237S28692870251

Closed-form estimates of the domain of attraction for nonlinear systems via fuzzy-polynomial models

In this work, the domain of attraction of the origin of a nonlinear system is estimated in closed-form via level sets with polynomial boundary, iteratively computed. In particular, the domain of attraction is expanded from a previous estimate, such as, for instance, a classical Lyapunov level set. With the use of fuzzy-polynomial models, the domain-of-attraction analysis can be carried out via sum of squares optimization and an iterative algorithm. The result is a function wich bounds the domain of attraction, free from the usual restriction of being positive and decrescent in all the interior of its level sets

Deep learning model of convolutional neural networks powered by a genetic algorithm for prevention of traffic accidents severity

The World Health Organization highlights that the number of annual road traffic deaths has reached 1.35 million (Global Status Report on Road Safety 2018). In addition, million of people suffer more or less important injuries as a consequence of this type of accidents. In this scenario, the prediction of the severity of traffic accidents is an essential point when it comes to improving the prevention and reaction of the entities responsible. On the other hand, the development of reliable methodologies to predict and classify the level of severity of traffic accidents, based on various variables, is a key component in the field of research in road safety. This work aims to propose a new approach, based on convolutional neural networks, for the detection of the severity of traffic accidents. Behind this objective is the preprocessing, analysis and visualization of data as well as the design, implementation and comparison of machine learning models considering accuracy as a performance indicator. For this purpose, a scalable and easily reusable methodology has been implemented. This methodology has been compared with other deep learning models verifying that the results of the designed neural network offer better performance in terms of quality measures.Financial support provided under grant number PID2020-112827GB-I00 funded by MCIN/AEI/10.13039/501100011033

A systematic grey-box modeling methodology via data reconciliation and SOS constrained regression

Producción CientíficaDeveloping the so-called grey box or hybrid models of limited complexity for process systems is the cornerstone in advanced control and real-time optimization routines. These models must be based on fundamental principles and customized with sub-models obtained from process experimental data. This allows the engineer to transfer the available process knowledge into a model. However, there is still a lack of a flexible but systematic methodology for grey-box modeling which ensures certain coherence of the experimental sub-models with the process physics. This paper proposes such a methodology based in data reconciliation (DR) and polynomial constrained regression. A nonlinear optimization of limited complexity is to be solved in the DR stage, whereas the proposed constrained regression is based in sum-of-squares (SOS) convex programming. It is shown how several desirable features on the polynomial regressors can be naturally enforced in this optimization framework. The goodnesses of the proposed methodology are illustrated through: (1) an academic example and (2) an industrial evaporation plant with real experimental data.Ministerio de Economía, Industria y Competitividad (grant DPI2016-81002-R

Control synthesis for polynomial discrete-time systems under input constraints via delayed-state Lyapunov functions

This paper presents a discrete-time control design methodology for input-saturating systems using a Lyapunov function with dependence on present and past states. The approach is used to bypass the usual difficulty with full polynomial Lyapunov functions of expressing the problem in a convex way. Also polynomial controllers are allowed to depend on both present and past states. Furthermore, by considering saturation limits on the control action, the information about the relationship between the present and past states is introduced via Positivstellensatz multipliers. Sum-of-squares techniques and available semi-definite programming (SDP) software are used in order to find the controller.The research work by J.L. Pitarch and A. Sala has been partially supported by the Spanish government under research project [grant number DPI2011-27845-C02-01 (MINECO)]; Generalitat Valenciana [grant number PROMETEOII/2013/004]. The work by T.M. Guerra and J. Lauber has been supported by the International Campus on Safety and Intermodality in Transportation, the European Community, Delegation Regionale a la Recherche et a la Technologie, Ministere de l'Enseignement superieur et de la Recherche, Region Nord Pas de Calais and the Centre National de la Recherche Scientifique.Pitarch Pérez, JL.; Sala Piqueras, A.; Lauber, J.; Guerra, TM. (2016). Control synthesis for polynomial discrete-time systems under input constraints via delayed-state Lyapunov functions. International Journal of Systems Science. 47(5):1176-1184. https://doi.org/10.1080/00207721.2014.915357S1176118447

Development of a tool based on thermoeconomics for control and diagnosis building thermal facilities

[EN] This work develops a software to control and diagnose building thermal facilities based on thermoe-conomics. It is tested with the data obtained from three building blocks in the Basque Country (northern Spain) with the aim of detecting the potential energy saving points and mitigating environmental im-pacts. Some obstacles, solved, are related to the insufficient number of probes and the inherent errors of sensors. Besides, new methodologies for performing a thermoeconomic dynamic analysis are described. Apart from this, the inefficiencies of components are quantified, a dynamic cost calculation of all fiows is done and different operation modes are discussed. The outcomes of operation modes are discussed and their exergetic, economic and environmental average unit cost are calculated. In such way, the inter-vention of the control system is analysed and the operation modes with lower and higher fuel con-sumption are detected. The results show that domestic hot water (DHW) production has an average value of 13.72 c euro /kWh and heating of 12.92 c euro /kWh; in addition, boilers have 1,587 MWh of real losses. Besides, the operating modes dynamic analysis opens a new research line for thermoeconomics appli-cations. This information is a key fact for control optimization searching the high performance of buildings.The authors appreciate the financial support provided for this work by the Basque Government through the ERAIKAL 2019 project. The authors also acknowledge the support provided by the Laboratory for the Quality Control in Buildings of the Basque Government

Turn-on fluorescent probes for nitric oxide sensing based on the the ortho-hydroxyamino structure showing no interference with dehydroascorbic acid

A new family of fluorescent synthetic molecular probes for nitric oxide sensing based on ortho-hydroxyamino-triarylpyrylium salts is presented

ITQ-69: A Germanium-Containing Zeolite and its Synthesis, Structure Determination, and Adsorption Properties

"This is the peer reviewed version of the following article:ITQ-69: A Germanium-Containing Zeolite and its Synthesis, Structure Determination, and Adsorption Properties, which has been published in final form at https://doi.org/10.1002/anie.202100822. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving."[EN] In this work, a new zeolite named as ITQ-69, has been synthesized, characterized and its application as selective adsorbent for industrially relevant light olefins/paraffins separations has been assessed. This material has been obtained as pure germania as well as silica-germania zeolites with different Si/Ge ratios using a diquaternary ammonium cation as organic structure directing agent. Its structure was determined by single-crystal X-Ray diffraction showing a triclinic unit cell forming a tridirectional small pore channel system (8x8x8R). Also, it has been found that Si preferentially occupies some special T sites of the structure as deduced from Rietveld analysis of the powder X-ray diffraction patterns. In addition, the new zeolite ITQ-69 has been found to be stable upon calcination and thus, its adsorption properties were evaluated, showing a promising kinetic selectivity for light olefin separations in the C3 fraction.The authors acknowledge the Spanish Ministry of Science, Innovation and Universities (MCIU) for their funding via project RTI2018-101784-B-I00 and Program Severo Ochoa SEV-2016-0683. AS and EPB thanks for their grants BES-2016-078684 and FPU15/01602, respectively. The Microscopy Service of the UPV is acknowledged for their help in sample characterization. By last, authors would like to thank the use of RIAIDT-USC analytical facilities, especially to Dr. Antonio L. Llamas for extremely useful comments on SCXRD analyses.Sala-Gascon, A.; Pérez-Botella, E.; Jorda Moret, JL.; Cantin Sanz, A.; Rey Garcia, F.; Valencia Valencia, S. (2021). ITQ-69: A Germanium-Containing Zeolite and its Synthesis, Structure Determination, and Adsorption Properties. Angewandte Chemie International Edition. 60(21):11745-11750. https://doi.org/10.1002/anie.2021008221174511750602

El yacimiento kárstico del Pleistoceno Superior de la Cueva del Camino en el Calvero de la Higuera (Pinilla del Valle, Madrid)

Depto. de Geodinámica, Estratigrafía y PaleontologíaFac. de Ciencias GeológicasTRUEpu

Homínidos y hienas en el Calvero de la Higuera (Pinilla del Valle, Madrid) durante el Pleistoceno superior. Resultados preliminares.

Depto. de Geodinámica, Estratigrafía y PaleontologíaFac. de Ciencias GeológicasTRUEpu