Contributions to fuzzy polynomial techniques for stability analysis and control

The present thesis employs fuzzy-polynomial control techniques in order to improve the stability analysis and control of nonlinear systems. Initially, it reviews the more extended techniques in the field of Takagi-Sugeno fuzzy systems, such as the more relevant results about polynomial and fuzzy polynomial systems. The basic framework uses fuzzy polynomial models by Taylor series and sum-of-squares techniques (semidefinite programming) in order to obtain stability guarantees. The contributions of the thesis are: ¿ Improved domain of attraction estimation of nonlinear systems for both continuous-time and discrete-time cases. An iterative methodology based on invariant-set results is presented for obtaining polynomial boundaries of such domain of attraction. ¿ Extension of the above problem to the case with bounded persistent disturbances acting. Different characterizations of inescapable sets with polynomial boundaries are determined. ¿ State estimation: extension of the previous results in literature to the case of fuzzy observers with polynomial gains, guaranteeing stability of the estimation error and inescapability in a subset of the zone where the model is valid. ¿ Proposal of a polynomial Lyapunov function with discrete delay in order to improve some polynomial control designs from literature. Preliminary extension to the fuzzy polynomial case. Last chapters present a preliminary experimental work in order to check and validate the theoretical results on real platforms in the future.Pitarch Pérez, JL. (2013). Contributions to fuzzy polynomial techniques for stability analysis and control [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/34773TESI

Report on Dynamic Data Reconciliation of Large-Scale Processes

Producción CientíficaAvailability of reliable process information in real time is key in any decision-making procedure. Thus, good industrial decision-support implementations require dealing with gross errors and consideration of process transients in order to get a set of measurements which will be coherent with the basic underlying process dynamics. This report presents dynamic data reconciliation methods and tools adapted to the requirements of industrial environments (large-scale systems and noisy/faulty data). Moreover, basic concepts in literature are extended to artificially increase system redundancy as well as to cope with time-varying parameter estimation. The procedure summarized in this report has been tested in the Lenzing case study.Ingeniería de Sistemas y AutomáticaEuropean Union Horizon 2020 program (grant nº 723575

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

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

Distributed Saturated Control for a Class of Semilinear PDE Systems: A SOS Approach

Producción CientíficaThis paper presents a systematic approach to deal with the saturated control of a class of distributed parameter systems which can be modeled by first-order hyperbolic partial differential equations (PDE). The approach extends (also improves over) the existing fuzzy Takagi-Sugeno (TS) state feedback designs for such systems by applying the concepts of the polynomial sum-of-squares (SOS) techniques. Firstly, a fuzzy-polynomial model via Taylor series is used to model the semilinear hyperbolic PDE system. Secondly, the closed-loop exponential stability of the fuzzy-PDE system is studied through the Lyapunov theory. This allows to derive a design methodology in which a more complex fuzzy state-feedback control is designed in terms of a set of SOS constraints, able to be numerically computed via semidefinite programming. Finally, the proposed approach is tested in simulation with the standard example of a nonisothermal plug-flow reactor (PFR).The research leading to these results has received funding from the European Union and from the Spanish Government (MINECO/FEDER DPI2015-70975-P)

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

XXXVIII Jornadas de Automática

Producción CientíficaThis work presents a decision-support tool to address the model-based optimization approach for online load allocation and scheduling of cleaning operations in an evaporation network. The aim is improving the resource efficiency by supplying the optimal solution for a given production goal. The approach includes the semi-automatic update of evaporator models, which is based on historical data for minimal modelling effort. The structure of the problem is formulated via mixed-integer programming and integrated into the plant supervision systems. Production constraints, concerns about the practical implementation and visualization preferences are also taken into account in the design of the prototypical tool.MINECO/FEDER Grant DPI2015-70975 (INOPTCON)EU H2020-SPIRE Grant Agreement nº 723575 (CoPro

Robust integrated production-maintenance scheduling for an evaporation network

Producción CientíficaThis work aims to reduce the global resource consumption in an industrial evaporation network by better tasks management and coordination. The network works in continuous, processing some products in several evaporation plants, so optimal load allocation and product-plant assignment problems appear. The plants have different features (capacity, equipment, etc.) and their performance is affected by fouling inside the heat exchangers and external factors. Hereby, the optimizer has to decide when maintenance operations have to be triggered. Therefore, a mixed production/maintenance scheduling problem arises. The plant behavior is approximated by surrogate linear models obtained experimentally, allowing thus the use of mixed-integer linear optimization routines to obtain solutions in acceptable time. Furthermore, uncertainty in the weather forecast and in the production plan is also considered via a two-stage stochastic programming approach. Finally, a trade-off analysis between other objectives of interest is given to support the decision maker.Spanish Government with project INOPTCON (MINECO/FEDER DPI2015-70975-P)

Digital twins for process industry

[EN] Digital Twins are virtual plants with an architecture and functionalities that make them actual useful tools for improving many aspects related to process operation, from its control to optimization. Nevertheless, there are several open problems that demand additional research before Digital Twins can be used in real-time as useful tools in decision making. Among them we can cite those related to model updating in real-time and the explicit consideration of uncertainty in models and processes. This paper discusses its architecture and role in the context of Industry 4.0 and, at the same time, analyzes one case study referred to the hydrogen network of an oil refinery that illustrates the possibilities of industrial use of digital twins, as well as the open problems associated to its implementation in the process industry.[ES] Los gemelos digitales son plantas virtuales dotadas de una arquitectura y funcionalidades que les convierten en herramientas útiles para mejorar muchos aspectos de la operación de los procesos, desde el control a la optimización de los mismos. No obstante, para ser usados en tiempo real como herramientas eficaces de toma de decisiones, hay varios problemas abiertos que requieren investigación adicional, entre ellos los relativos a la actualización de los modelos en tiempo real y a la consideración explícita de las incertidumbres presentes en los modelos y los procesos. Este artículo discute su arquitectura y papel en el contexto de Industria 4.0, y recoge y analiza una experiencia concreta referida a la red de hidrogeno de una refinería de petróleo que ilustra las posibilidades de utilización industrial de los gemelos digitales, así como los problemas abiertos que presenta su implantaciónen la industria de procesos.Este trabajo ha sido realizado parcialmente gracias al apoyo del MICINN de España a través del proyecto “Control y Optimización de planta completa integrados para Industria 4.0” (InCO4In) con referencia PGC2018-099312-B-C31De Prada, C.; Galán-Casado, S.; Pitarch Pérez, JL.; Sarabia, D.; Galán, A.; Gutiérrez, G. (2022). Gemelos Digitales en la Industria de Procesos. Revista Iberoamericana de Automática e Informática industrial. 19(3):285-296. https://doi.org/10.4995/riai.2022.16901OJS28529619

The outcome of boosting mitochondrial activity in alcohol-associated liver disease is organ-dependent.

BACKGROUND AND AIMS Alcohol-associated liver disease (ALD) accounts for 70% of liver-related deaths in Europe, with no effective approved therapies. Although mitochondrial dysfunction is one of the earliest manifestations of alcohol-induced injury, restoring mitochondrial activity remains a problematic strategy due to oxidative stress. Here, we identify methylation-controlled J protein (MCJ) as a mediator for ALD progression and hypothesize that targeting MCJ may help in recovering mitochondrial fitness without collateral oxidative damage. APPROACH AND RESULTS C57BL/6 mice [wild-type (Wt)] Mcj knockout and Mcj liver-specific silencing (MCJ-LSS) underwent the NIAAA dietary protocol (Lieber-DeCarli diet containing 5% (vol/vol) ethanol for 10 days, plus a single binge ethanol feeding at day 11). To evaluate the impact of a restored mitochondrial activity in ALD, the liver, gut, and pancreas were characterized, focusing on lipid metabolism, glucose homeostasis, intestinal permeability, and microbiota composition. MCJ, a protein acting as an endogenous negative regulator of mitochondrial respiration, is downregulated in the early stages of ALD and increases with the severity of the disease. Whole-body deficiency of MCJ is detrimental during ALD because it exacerbates the systemic effects of alcohol abuse through altered intestinal permeability, increased endotoxemia, and dysregulation of pancreatic function, which overall worsens liver injury. On the other hand, liver-specific Mcj silencing prevents main ALD hallmarks, that is, mitochondrial dysfunction, steatosis, inflammation, and oxidative stress, as it restores the NAD + /NADH ratio and SIRT1 function, hence preventing de novo lipogenesis and improving lipid oxidation. CONCLUSIONS Improving mitochondrial respiration by liver-specific Mcj silencing might become a novel therapeutic approach for treating ALD.This work was supported by grants from Ministerio de Ciencia e Innovación, Programa Retos-Colaboración RTC2019-007125-1 (for Jorge Simon and Maria Luz Martinez-Chantar); Ministerio de Economía, Industria y Competitividad, Retos a la Sociedad AGL2017- 86927R (for F.M.); Instituto de Salud Carlos III, Proyectos de Investigación en Salud DTS20/00138 and DTS21/00094 (for Jorge Simon and Maria Luz Martinez-Chantar, and Asis Palazon. respectively); Instituto de Salud Carlos III, Fondo de Investigaciones Sanitarias co-founded by European Regional Development Fund/European Social Fund, “Investing in your future” PI19/00819, “Una manera de hacer Europa” FIS PI20/00765, and PI21/01067 (for Jose J. G. Marin., Pau Sancho-Bru,. and Mario F. Fraga respectively); Departamento de Industria del Gobierno Vasco (for Maria Luz Martinez-Chantar); Asturias Government (PCTI) co-funding 2018-2023/ FEDER IDI/2021/000077 (for Mario F. Fraga.); Ministerio de Ciencia, Innovación y Universidades MICINN: PID2020-117116RB-I00, CEX2021-001136-S PID2020-117941RB-I00, PID2020-11827RB-I00 and PID2019-107956RA-100 integrado en el Plan Estatal de Investigación Científica y Técnica y Innovación, cofinanciado con Fondos FEDER (for Maria Luz Martinez-Chantar, Francisco J Cubero., Yulia A Nevzorova and Asis Palazon); Ayudas Ramón y Cajal de la Agencia Estatal de Investigación RY2013-13666 and RYC2018- 024183-I (for Leticia Abecia and Asis Palazon); European Research Council Starting Grant 804236 NEXTGEN-IO (for Asis Palazon); The German Research Foundation SFB/TRR57/P04, SFB1382-403224013/ A02 and DFG NE 2128/2-1 (for Francisco J Cubero and Yulia A Nevzorova); National Institute of Health (NIH)/National Institute of Alcohol Abuse and Alcoholism (NIAAA) 1U01AA026972-01 (For Pau Sancho-Bru); Junta de Castilla y León SA074P20 (for Jose J. G. Marin); Junta de Andalucía, Grupo PAIDI BIO311 (for Franz Martin); CIBERER Acciones Cooperativas y Complementarias Intramurales ACCI20-35 (for Mario F. Fraga); Ministerio de Educación, Cultura y Deporte FPU17/04992 (for Silvia Ariño); Fundació Marato TV3 201916-31 (for Jose J. G. Marin.); Ainize Pena-Cearra is a fellow of the University of the Basque Country (UPV/ EHU); BIOEF (Basque Foundation for Innovation and Health Research); Asociación Española contra el Cáncer (Maria Luz Martinez-Chantar and Teresa C. Delgado.); Fundación Científica de la Asociación Española Contra el Cáncer (AECC Scientific Foundation) Rare Tumor Calls 2017 (for Maria Luz Martinez-Chantar); La Caixa Foundation Program (for Maria Luz Martinez-Chantar); Proyecto Desarrollo Tecnologico CIBERehd (for Maria Luz Martinez-Chantar); Ciberehd_ISCIII_MINECO is funded by the Instituto de Salud Carlos III.S