Abstract
This chapter considers a regulation problem for polynomial fuzzy model-based control systems. An output-feedback polynomial fuzzy controller is employed to drive the system outputs to reach a desired level. SOS-based stability conditions for the three cases (perfectly, partially and imperfectly matched premises) are obtained, which is facilitated by considering different information of membership functions, to determine the system stability and synthesize the controller. With the support of Barbalat’s lemma, it is guaranteed that a stable output-feedback polynomial fuzzy controller will produce no steady state error. A simulation example is given to verify the analysis results and show that the output-feedback polynomial fuzzy controller of the three cases are able to handle well the regulation control problem.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Wang, H.O., Tanaka, K., Griffin, M.F.: An approach to fuzzy control of nonlinear systems: stability and design issues. IEEE Trans. Fuzzy Syst. 4(1), 14–23 (1996)
Tanaka, K., Ikeda, T., Wang, H.O.: Fuzzy regulators and fuzzy observers: relaxed stability conditions and LMI-based designs. IEEE Trans. Fuzzy Syst. 6(2), 250–265 (1998)
Kim, E., Lee, H.: New approaches to relaxed quadratic stability condition of fuzzy control systems. IEEE Trans. Fuzzy Syst. 8(5), 523–534 (2000)
Teixeira, M.C.M., Assuncão, E., Avellar, R.G.: On relaxed LMI-based designs for fuzzy regulators and fuzzy observers. IEEE Trans. Fuzzy Syst. 11(5), 613–623 (2003)
Liu, X., Zhang, Q.: New approaches to H\(_\infty \) controller designs based on fuzzy observers for Takagi-Sugeno fuzzy systems via LMI. Automatica 39(9), 1571–1582 (2003)
Liu, X., Zhang, Q.: Approaches to quadratic stability conditions and H\(_\infty \) control designs for Takagi-Sugeno fuzzy systems. IEEE Trans. Fuzzy Syst. 11(6), 830–839 (2003)
Fang, C.H., Liu, Y.S., Kau, S.W., Hong, L., Lee, C.H.: A new LMI-based approach to relaxed quadratic stabilization of Takagi-Sugeno fuzzy control systems. IEEE Trans. Fuzzy Syst. 14(3), 386–397 (2006)
Sala, A., Ariño, C.: Asymptotically necessary and sufficient conditions for stability and performance in fuzzy control: applications of Polya’s theorem. Fuzzy Sets Syst. 158(24), 2671–2686 (2007)
Lo, J.C., Wan, J.R.: Studies on linear matrix inequality relaxations for fuzzy control systems via homogeneous polynomials. IET Control Theory Appl. 4(11), 2293–2302 (2010)
Lam, H.K., Leung, F.H.F.: Stability analysis of fuzzy control systems subject to uncertain grades of membership. IEEE Trans. Syst., Man Cybern. Part B: Cybern. 35(6), 1322–1325 (2005)
Lam, H.K., Leung, F.H.F.: LMI-based stability and performance design of fuzzy control systems: Fuzzy models and controllers with different premises. In: Proceedings of the International Conference on Fuzzy Systems 2006 (FUZZ-IEEE 2006), pp. 9499–9506. Vancouver (2006)
Sala, A., Ariño, C.: Relaxed stability and performance conditions for Takagi-Sugeno fuzzy systems with knowledge on membership function overlap. IEEE Trans. Syst. Man Cybern. Part B: Cybern. 37(3), 727–732 (2007)
Ariño, C., Sala, A.: Extensions to “stability analysis of fuzzy control systems subject to uncertain grades of membership”. IEEE Trans. Syst. Man Cybern. Part B: Cybern. 38(2), 558–563 (2008)
Lam, H.K., Narimani, M.: Stability analysis and performance design for fuzzy-model-based control system under imperfect premise matching. IEEE Trans. Fuzzy Syst. 17(4), 949–961 (2009)
Sala, A., Ariño, C.: Relaxed stability and performance LMI conditions for Takagi-Sugeno fuzzy systems with polynomial constraints on membership function shapes. IEEE Trans. Fuzzy Syst. 16(5), 1328–1336 (2008)
Kruszewski, A., Sala, A., Guerra, T., Arino, C.: A triangulation approach to asymptotically exact conditions for fuzzy summations. IEEE Trans. Fuzzy Syst. 17(5), 985–994 (2009)
Narimani, M., Lam, H.K.: Relaxed LMI-based stability conditions for Takagi-Sugeno fuzzy control systems using regional-membership-function-shape-dependent analysis approach. IEEE Trans. Fuzzy Syst. 17(5), 1221–1228 (2009)
Lam, H.K., Narimani, M.: Quadratic stability analysis of fuzzy-model-based control systems using staircase membership functions. IEEE Trans. Fuzzy Syst. 18(1), 125–137 (2010)
Lo, J.C., Lin, M.L.: Robust H\(_\infty \) nonlinear control via fuzzy static output feedback. IEEE Trans. Syst. Man Cybern. Part B: Cybern. 50(11), 1494–1502 (2003)
Li, H., Chen, B., Zhou, Q., Qian, W.: Robust stability for uncertain delayed fuzzy Hopfield neural networks with Markovian jumping parameters. IEEE Trans. Syst. Man Cybern. Part B: Cybern. 39(1), 94–102 (2009)
Wu, L., Zheng, W.X.: L\(_2\) - L\(_\infty \) control of nonlinear fuzzy Itô stochastic delay systems via dynamic output feedback. IEEE Trans. Syst. Man Cybern. Part B: Cybern. 39(5), 1308–1315 (2009)
Gao, H., Chen, T.: Stabilization of nonlinear systems under variable sampling: a fuzzy control approach. IEEE Trans. Fuzzy Syst. 15(5), 972–983 (2007)
Gao, H., Liu, X., Lam, J.: Stability analysis and stabilization for discrete-time fuzzy systems with time-varying delay. IEEE Trans. Syst. Man Cybern. Part B: Cybern. 39(2), 306–317 (2009)
Lam, H.K., Leung, F.H.F., Tam, P.K.S.: Fuzzy control of a class of multivariable nonlinear systems subject to parameter uncertainties: model reference approach. Int. J. Approx. Reason. 26(2), 129–144 (2001)
Lam, H.K., Leung, F.H.F., Tam, P.K.S.: A switching controller for uncertain nonlinear systems. IEEE Control Syst. Mag. 22(1), 7–14 (2002)
Tseng, C.S., Chen, B.S., Uang, H.J.: Fuzzy tracking control design for nonlinear dynamic systems via T-S fuzzy model. IEEE Trans. Fuzzy Syst. 9(3), 381–392 (2001)
Wang, M., Chen, B., Liu, X., Shi, P.: Adaptive fuzzy tracking control for a class of perturbed strict-feedback nonlinear time-delay systems. Fuzzy Sets Syst. 159(8), 949–967 (2008)
Wang, W.J., Luoh, L.: Stability and stabilization of fuzzy large-scale systems. IEEE Trans. Fuzzy Syst. 12(3), 309–315 (2004)
Wang, W.J., Lin, W.W.: Decentralized PDC for large-scale TS fuzzy systems. IEEE Trans. Fuzzy Syst. 13(6), 779–786 (2005)
Lin, W.W., Wang, W.J., Yang, S.H.: A novel stabilization criterion for large-scale T-S fuzzy systems. IEEE Trans. Syst. Man Cybern. Part B: Cybern. 37(4), 1074–1079 (2007)
Rubio, J.D.J., Yu, W.: A new discrete-time sliding-mode control with time-varying gain and neural identification. Int. J. Control 79(4), 338–348 (2006)
Yu, W., Moreno-Armendariz, M.A.: Robust visual servoing of robot manipulators with neuro compensation. J. Frankl. Inst. 342(7), 824–838 (2005)
Yu, W., Li, X.: PD control of robot with velocity estimation and uncertainties compensation. Int. J. Robot. Autom. 21(1), 1–9 (2006)
Pérez-Cruz, J.H., Chairez, I., Poznyak, A., Rubio, J.J.: Constrained neural control for the adaptive tracking of power profiles in a TRIGA reactor. Int. J. Innov. Comput. Inf. Control 7(7(B)), 4575–4588 (2011)
Chiu, C.S., Chiang, T.S.: Robust output regulation of T-S fuzzy systems with multiple time-varying state and input delays. IEEE Trans. Fuzzy Syst. 17(4), 962–975 (2009)
Lian, K.Y., Liou, J.J., Huang, C.Y.: LMI-based integral fuzzy control of DC-DC converters. IEEE Trans. Fuzzy Syst. 14(1), 71–80 (2006)
Lam, H.K., Tan, S.C.: Stability analysis of fuzzy-model-based control systems: application on regulation of switching DC–DC converter. IET Control Theory Appl. 3(8), 1093–1106 (2009)
Lee, T.H., Lam, H.K., Leung, F.H.F., Tam, P.K.S.: A practical fuzzy logic controller for the path tracking of wheeled mobile robots. IEEE Control Syst. Mag. 23(2), 60–65 (2003)
Das, T., Kar, I.N.: Design and implementation of an adaptive fuzzy logic-based controller for wheeled mobile robots. IEEE Trans. Control Syst. Technol. 14(3), 501–510 (2006)
Leung, F.H.F., Lam, H.K., Ling, S.H., Tam, P.K.S.: Optimal and stable fuzzy controllers for nonlinear systems based on an improved genetic algorithm. IEEE Trans. Ind. Electron. 51(1), 172–182 (2004)
Li, T.H.S., Huang, Y.C.: MIMO adaptive fuzzy terminal sliding-mode controller for robotic manipulators. Inf. Sci. 180(23), 4641–4660 (2010)
Behal, A., Dawson, D.M., Dixon, W.E., Fang, Y.: Tracking and regulation control of an underactuated surface vessel with nonintegrable dynamics. IEEE Trans. Autom. Control 47(3), 495–500 (2002)
Slotine, J.J.E., Li, W.: Applied Nonlinear Control. Prentice-Hall, Englewood Cliffs (1991)
Tanaka, K., Yoshida, H., Ohtake, H., Wang, H.O.: A sum of squares approach to modeling and control of nonlinear dynamical systems with polynomial fuzzy systems. IEEE Trans. Fuzzy Syst. 17(4), 911–922 (2009)
Tanaka, K., Ohtake, H., Wang, H.O.: Guaranteed cost control of polynomial fuzzy systems via a sum of squares approach. IEEE Trans. Syst. Man Cybern.-Part B: Cybern. 39(2), 561–567 (2009)
Chen, C.L., Chen, P.C., Chen, C.K.: Analysis and design of fuzzy control system. Fuzzy Sets Syst. 57(2), 125–140 (1993)
Montagner, V.F., Oliveira, R.C.L.F., Peres, P.L.D.: Convergent LMI relaxations for quadratic stabilizability and control of Takagi-Sugeno fuzzy systems. IEEE Trans. Fuzzy Syst. 17(4), 863–873 (2009)
Lam, H.K., Seneviratne, L.D.: Stability analysis of polynomial fuzzy-model-based control systems under perfect/imperfect premise matching. IET Control Theory Appl. 5(15), 1689–1697 (2011)
Lam, H.K., Tsai, S.H.: Stability analysis of polynomial-fuzzy-model-based control systems with mismatched premise membership functions. IEEE Trans. Fuzzy Syst. 22(1), 223–229 (2014)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Lam, HK. (2016). Output Regulation of Polynomial Fuzzy Model-Based Control Systems. In: Polynomial Fuzzy Model-Based Control Systems. Studies in Systems, Decision and Control, vol 64. Springer, Cham. https://doi.org/10.1007/978-3-319-34094-4_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-34094-4_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-34092-0
Online ISBN: 978-3-319-34094-4
eBook Packages: EngineeringEngineering (R0)