Abstract
This paper presents a theorem based on the hyper-rectangle defined by the closed set of the time derivatives of the membership functions of Takagi–Sugeno fuzzy systems. This result is also based on Linear Matrix Inequalities and allows the reduction of the conservatism of the stability analysis in the sense of Lyapunov. The theorem generalizes previous results available in the literature.
Similar content being viewed by others
References
Andrea, C. Q., Pinto, J. O. P., Assunção, E., & Teixeira, M. C. M. (2008). Controle ótimo \({H}_{\infty }\) de sistemas não-lineares com modelos fuzzy. SBA: Controle & Automação Sociedade Brasileira de Automática, 19(3), 256–269.
Boyd, S., Ghaoui, L., Feron, E., & Balakrishnan, V. (1994). Linear matrix inequalities in systems and control theory. Philadelphia: Society for Industrial and Applied Mathematics.
Cao, S. G., Rees, N. W., & Feng, G. (1996). Analysis and design of a class of continuous time fuzzy control systems. International Journal Control, 64, 1069–1087.
Cao, S. G., Rees, N. W., & Feng, G. (1997). Analysis and design of a class of complex control systems. International Journal Control, 33(6), 1029–1039.
Esteves, T., Júnior, E. M., Moreira, M., Cardim, R., Alves, M. P., & Teixeira, M. C. M. (2011). Análise da estabilidade de sistemas fuzzy Takagi-Sugeno utilizando funções de Lyapunov fuzzy. In Anais do X Simpósio Brasileiro de Automação Inteligente (pp. 885–890). Universidade Federal de Sõ João del-Rei, São João del-Rei, MG, Brazil.
Feng, G. (2006). A survey on analysis and design of model-based fuzzy control systems. IEEE Transactions on Fuzzy Systems, 14(5), 676–697.
Jadbabaie, A. (1999). A reduction in conservatism in stability and \({L_{2}}\) gain analysis of Takagi-Sugeno fuzzy systems via linear matrix inequalities. In Proceedings of the 14th IFAC world congress, China.
Lara, C., Flores, J. J., & Calderon, F. (2009). On the hyperbox–hyperplane intersection problem. INFOCOMP—Journal of Computer Science, 8(4), 21–27.
Montagner, V. F., Oliveira, R. C. L. F., Leite, V. J. S., & Peres, P. L. D. (2005). LMI approach for \({H}_{\infty }\) linear parameter-varying state feedback control. IEEE Proceedings in Control Theory Applications, 152(2), 195–201.
Montagner, V., Oliveira, R. C. L. F., & Peres, P. L. D. (2010). Relaxações convexas de convergência garantida para o projeto de controladores para sistemas nebulosos de Takagi-Sugeno. SBA: Controle & Automação Sociedade Brasileira de Automática, 21(1), 82–95.
Mozelli, L. A., Palhares, R. M., Souza, F. O., & Mendes, E. M. A. M. (2009). Reducing conservativeness in recent stability conditions of TS fuzzy systems. Automatica, 45(6), 1580–1583.
Ohtake, H., Tanaka, K., Wang, H., et al. (2001). Fuzzy modeling via sector nonlinearity concept. In Joint 9th IFSA world congress and 20th NAFIPS international conference (Vol. 1, pp. 127–132), Canada.
Takagi, T., & Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling and control. IEEE Transactions on Systems Man and Cybernetics, 15(1), 116–132.
Tanaka, K., Hori, T., & Wang, H. (2003). A multiple Lyapunov function approach to stabilization of fuzzy control systems. IEEE Transactions on Fuzzy Systems, 11(4), 582–589.
Tanaka, K., Ikeda, T., & Wang, H. (2003). Fuzzy regulators and fuzzy observers: Relaxed stability conditions and LMI-based designs. IEEE Transactions on Fuzzy Systems, 2(6), 250–265.
Tanaka, K., & Wang, H. O. (2001). Fuzzy control systems design and analysis: A linear matrix inequality approach (1st ed.). Toronto: John Wiley Professional.
Tanscheit, R., Gomide, F., & Teixeira, M. (2007). Modelagem e controle nebuloso, em L. A. Aguirre (ed.), Enciclopéédia de Automática. Vol. 3: Controle & Automação (1st ed.). Brazil: Editora Blucher.
Teixeira, M. C. M., & Assunção, E. (2007). Extensões para sistemas não-lineares. In L. A. Aguirre (Ed.), Enciclopédia de Automática, Vol. 1: Controle & Automação (1st ed.). Brazil: Editora Blucher.
Teixeira, M. C. M., Assunção, E., & Avellar, R. (2003). On relaxed LMI-based designs for fuzzy regulators and fuzzy observers. IEEE Transactions on Fuzzy Systems, 11(5), 613–623.
Teixeira, M. C. M., Pietrobom, H. C., & Assunção, E. (2000). Novos resultados sobre estabilidade e controle de sistemas não-lineares utilizando modelos fuzzy e LMI. SBA: Controle & Automação Sociedade Brasileira de Automática, 11(1), 37–48.
Teixeira, M. C. M., & Żak, S. H. (1999). Stabilizing controller design for uncertain nonlinear systems using fuzzy models. IEEE Transactions on Fuzzy Systems, 7(2), 133–142.
Tognetti, E. S., & Oliveira, V. A. (2010). Fuzzy pole placement based on piecewise Lyapunov functions. International Journal of Robust and Nonlinear Control, 20(5), 571–578.
Acknowledgments
The authors gratefully acknowledge the partial financial support by FAPESP and CNPq from Brazil.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Guedes, J.A., Teixeira, M.C.M., Cardim, R. et al. Stability of Nonlinear System Using Takagi–Sugeno Fuzzy Models and Hyper-Rectangle of LMIs. J Control Autom Electr Syst 24, 46–53 (2013). https://doi.org/10.1007/s40313-013-0015-4
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40313-013-0015-4