Mostrar el registro sencillo del ítem
dc.contributor.author | Pitarch, J.L. | es_ES |
dc.contributor.author | Sala, A. | es_ES |
dc.contributor.author | Ariño, C.V. | es_ES |
dc.date.accessioned | 2020-05-19T10:34:23Z | |
dc.date.available | 2020-05-19T10:34:23Z | |
dc.date.issued | 2015-10-15 | |
dc.identifier.issn | 1697-7912 | |
dc.identifier.uri | http://hdl.handle.net/10251/143718 | |
dc.description.abstract | [ES] El presente trabajo analiza el comportamiento de sistemas borrosos Takagi-Sugeno ante perturbaciones persistentes (caracterizadas bien por cotas conocidas de amplitud o de potencia en media cuadrática). El análisis se centra en validar que, ante una determinada cota de potencia de perturbaciones y región de condiciones iniciales, existe una región inescapable (contenida en la región donde el modelo TS es válido como modelo de un sistema no lineal subyacente). Algunos de los problemas planteados se formulan como problemas de desigualdades matriciales lineales (LMI), posibles de resolver de forma óptima por programación semidefinida, y otros serán productos de matrices variables de decisión y dos escalares (BMI), que son resueltos de forma iterativa. | es_ES |
dc.description.abstract | [EN] The present work analizes the behaviour of Takagi-Sugeno fuzzy systems in front of non-vanishing disturbances (characterized by known amplitude or quadratic-mean power bounds). Such analysis is focused in validating that, in front of a specific disturbance bound and an initial-condition region, there exist an inescapable region (contained in the region where the TS model is valid as a model of the underlying nonlinear system). Some of the stated problems here are cast as linear matrix inequality problems (LMI), efficiently solvable by semidefinite programming. Others, however, will involve nonconvex products of decision-variable matrices and two scalars (BMI), which are solved in an iterative way. | es_ES |
dc.description.sponsorship | Este trabajo ha sido financiado por el MINECO, Gobierno de Espana, bajo los proyectos ˜ de investigacion DPI2011-27845-C02-01 y DPI2012-37859. | es_ES |
dc.language | Español | es_ES |
dc.publisher | Universitat Politècnica de València | es_ES |
dc.relation.ispartof | Revista Iberoamericana de Automática e Informática industrial | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Takagi-Sugeno | es_ES |
dc.subject | Disturbance rejection | es_ES |
dc.subject | Inescapable set | es_ES |
dc.subject | Local stability | es_ES |
dc.subject | LMI | es_ES |
dc.subject | Nonvanishing disturbances | es_ES |
dc.subject | Rechazo a perturbaciones | es_ES |
dc.subject | Conjunto inescapable | es_ES |
dc.subject | Estabilidad local | es_ES |
dc.subject | Perturbaciones persistentes | es_ES |
dc.title | Estabilidad de sistemas Takagi-Sugeno bajo perturbaciones persistentes: estimación de conjuntos inescapables | es_ES |
dc.title.alternative | Stability of Takagi-Sugeno systems under nonvanishing disturbances: estimating inescapable sets | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.riai.2015.09.007 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//DPI2011-27845-C02-01/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//DPI2012-37859/ES/OPERACION OPTIMA EN TIEMPO REAL DE SISTEMAS DE PLANTA COMPLETA/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica | es_ES |
dc.description.bibliographicCitation | Pitarch, J.; Sala, A.; Ariño, C. (2015). Estabilidad de sistemas Takagi-Sugeno bajo perturbaciones persistentes: estimación de conjuntos inescapables. Revista Iberoamericana de Automática e Informática industrial. 12(4):457-466. https://doi.org/10.1016/j.riai.2015.09.007 | es_ES |
dc.description.accrualMethod | OJS | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.riai.2015.09.007 | es_ES |
dc.description.upvformatpinicio | 457 | es_ES |
dc.description.upvformatpfin | 466 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 12 | es_ES |
dc.description.issue | 4 | es_ES |
dc.identifier.eissn | 1697-7920 | |
dc.relation.pasarela | OJS\9348 | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
dc.description.references | Abedor, J., Nagpal, K., & Poolla, K. (1996). A linear matrix inequality approach to peak-to-peak gain minimization. International Journal of Robust and Nonlinear Control, 6(9-10), 899-927. doi:10.1002/(sici)1099-1239(199611)6:9/10<899::aid-rnc259>3.0.co;2-g | es_ES |
dc.description.references | Boyd, S., Ghaoui, L.E., Feron, E., Balakrishnan, V., 1994. Linear matrix inequalities in system and control theory. No. 15 en SIAM studies in applied mathematics. SIAM. | es_ES |
dc.description.references | Chen, C.-W., Yeh, K., Chiang, W.-L., Chen, C.-Y., & Wu, D.-J. (2007). Modeling, H∞ Control and Stability Analysis for Structural Systems Using Takagi-Sugeno Fuzzy Model. Journal of Vibration and Control, 13(11), 1519-1534. doi:10.1177/1077546307073690 | es_ES |
dc.description.references | Feng, G. (2006). A Survey on Analysis and Design of Model-Based Fuzzy Control Systems. IEEE Transactions on Fuzzy Systems, 14(5), 676-697. doi:10.1109/tfuzz.2006.883415 | es_ES |
dc.description.references | Genesio, R., Tartaglia, M., Vicino, A., ago 1985. On the estimation of asymptotic stability regions: State of the art and new proposals. IEEE Trans. on Aut. Control 30 (8), 747-755. | es_ES |
dc.description.references | Goh, K., Turan, L., Safonov, M., Papavassilopoulos, G., Ly, J., June 1994. Biaffine matrix inequality properties and computational methods. En: American Control Conference, 1994. Vol. 1. pp. 850-855 vol.1. | es_ES |
dc.description.references | Guerra, T. M., Kruszewski, A., & Lauber, J. (2009). Discrete Tagaki–Sugeno models for control: Where are we? Annual Reviews in Control, 33(1), 37-47. doi:10.1016/j.arcontrol.2009.01.004 | es_ES |
dc.description.references | Hancock, E.J., Papachristodoulou, A., feb 2013. Generalised absolute stability and sum of squares. Automatica. | es_ES |
dc.description.references | Jaadari, A., 2013. Continuous quasi-LPV systems: how to leave the quadratic framework? Tesis doctoral, Université de Valenciennes et du Hainaut-Cambresis (France), Universitat Politècnica de València (Spain). URL: http://hdl.handle.net/10251/31379. | es_ES |
dc.description.references | Johansson, M., Rantzer, A., Arzen, K.-E., dec 1999. Piecewise quadratic stability of fuzzy systems. Fuzzy Systems, IEEE Transactions on 7, 713-722. | es_ES |
dc.description.references | Kanev, S., Scherer, C., Verhaegen, M., Schutter, B.D., 2004. Robust output-feedback controller design via local {BMI} optimization. Automatica 40 (7), 1115-1127. | es_ES |
dc.description.references | Klug, M., Castelan, E. B., & Coutinho, D. (2015). A T–S Fuzzy Approach to the Local Stabilization of Nonlinear Discrete-Time Systems Subject to Energy-Bounded Disturbances. Journal of Control, Automation and Electrical Systems, 26(3), 191-200. doi:10.1007/s40313-015-0172-8 | es_ES |
dc.description.references | Ksontini, M., Delmotte, F., Guerra, T.-M., Kamoun, A., Oct 2003. Disturbance rejection using takagi-sugeno fuzzy model applied to an interconnected tank system. En: Systems, Man and Cybernetics, 2003. IEEE International Conference on. Vol. 4. pp. 3352-3357 vol. 4. | es_ES |
dc.description.references | Xiaodong Liu, & Qingling Zhang. (2003). Approaches to quadratic stability conditions and H//sub∞/ control designs for T-S fuzzy systems. IEEE Transactions on Fuzzy Systems, 11(6), 830-839. doi:10.1109/tfuzz.2003.819834 | es_ES |
dc.description.references | Matía, F., Marichal, G.N., Jiménez, E. (Eds.), 2014. Fuzzy Modeling and Control: Theory and Applications. Vol. 9 of Atlantis Computational Intelligence Systems. Atlantis Press. | es_ES |
dc.description.references | Palhares, R. M., & Peres, P. L. D. (2000). Robust filtering with guaranteed energy-to-peak performance — an LMI approach. Automatica, 36(6), 851-858. doi:10.1016/s0005-1098(99)00211-3 | es_ES |
dc.description.references | Pitarch, J.L., Sala, A., Ariño, C.V., Apr 2014. Closed-form estimates of the domain of attraction for nonlinear systems via fuzzy-polynomial models. Cybernetics, IEEE Transactions on 44 (4), 526-538. | es_ES |
dc.description.references | Pitarch, J. L., Sala, A., Ariño, C. V., & Bedate, F. (2012). Estimaación del dominio de atracción de sistemas no lineales mediante modelos borrosos polinomiales. Revista Iberoamericana de Automática e Informática Industrial RIAI, 9(2), 152-161. doi:10.1016/j.riai.2012.02.007 | es_ES |
dc.description.references | Pitarch, J.L., Sala, A., Bedate, F., Ariño, C.V., Sep 2013. Inescapable-set estimation for nonlinear systems with non-vanishing disturbances. En: 3rd IFAC Inter. Conf. on Intelligent Control and Automation Science (ICONS). Chengdu, China, pp. 457-462. | es_ES |
dc.description.references | Sala, A. (2009). On the conservativeness of fuzzy and fuzzy-polynomial control of nonlinear systems. Annual Reviews in Control, 33(1), 48-58. doi:10.1016/j.arcontrol.2009.02.001 | es_ES |
dc.description.references | Salcedo, J. V., Martínez, M., & García-Nieto, S. (2008). Stabilization conditions of fuzzy systems under persistent perturbations and their application in nonlinear systems. Engineering Applications of Artificial Intelligence, 21(8), 1264-1276. doi:10.1016/j.engappai.2008.04.012 | es_ES |
dc.description.references | Scherer, C., Weiland, S., 2004. Linear matrix inequalities in control. Notes for a course of the Dutch Institute of Systems and Control. URL: http://www.cs.ele.tue.nl/SWeiland/lmid.pdf. | es_ES |
dc.description.references | Tadeo, F., & Grimble, M. J. (2002). Advanced control of a hydrogen reformer. Computing & Control Engineering Journal, 13(6), 305-314. doi:10.1049/cce:20020609 | es_ES |
dc.description.references | Tanaka, K., Wang, H.O., 2001. Fuzzy control systems design and analysis: a linear matrix inequality approach, 2a Edición. Wiley-Interscience publication. John Wiley and Sons. | es_ES |
dc.description.references | Wang, H., Tanaka, K., Griffin, M., feb 1996. An approach to fuzzy control of nonlinear systems: stability and design issues. Fuzzy Systems, IEEE Transactions on 4, 14-23. | es_ES |
dc.description.references | Wang, L., & Liu, X. (2013). Local analysis of continuous-time Takagi–Sugeno fuzzy system with disturbances bounded by magnitude or energy: A Lagrange multiplier method. Information Sciences, 248, 89-102. doi:10.1016/j.ins.2013.06.023 | es_ES |