Stabilization of polynomial fuzzy large-scale system: Sum-of-square approach

This paper presents a polynomial fuzzy method approach to stabilize the nonlinear large-scale system. Unlike conventional T-S fuzzy system, polynomial fuzzy system contains polynomial matrix. Since polynomial fuzzy system has polynomial matrix, this system has less IF-THEN rules than T-S fuzzy system. Based on the proposed method, stabilization condtiion is derived in the form of polynomial and solved by sum-of-square method. Finally, some examples demonstrate that the proposed condition is adoptable in modeling and stabilization for the nonlinear large-scale system.

[1]  Feng-Hsiag Hsiao,et al.  Stability analysis of fuzzy large-scale systems , 2002, IEEE Trans. Syst. Man Cybern. Part B.

[2]  Wen-June Wang,et al.  A Novel Stabilization Criterion for Large-Scale T–S Fuzzy Systems , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[3]  Hak-Keung Lam,et al.  SOS-Based Stability Analysis of Polynomial Fuzzy-Model-Based Control Systems Via Polynomial Membership Functions , 2010, IEEE Transactions on Fuzzy Systems.

[4]  Jin Bae Park,et al.  Robust fuzzy control of nonlinear systems with parametric uncertainties , 2001, IEEE Trans. Fuzzy Syst..

[5]  Kazuo Tanaka,et al.  A Sum-of-Squares Approach to Modeling and Control of Nonlinear Dynamical Systems With Polynomial Fuzzy Systems , 2009, IEEE Transactions on Fuzzy Systems.

[6]  Kazuo Tanaka,et al.  Fuzzy control systems design and analysis , 2001 .

[7]  Thomas Gustafsson,et al.  Hybrid object detection using improved Gaussian mixture model , 2011, 2011 11th International Conference on Control, Automation and Systems.

[8]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[9]  Antonio Sala,et al.  Polynomial Fuzzy Models for Nonlinear Control: A Taylor Series Approach , 2009, IEEE Transactions on Fuzzy Systems.

[10]  Kazuo Tanaka,et al.  Fuzzy regulators and fuzzy observers: relaxed stability conditions and LMI-based designs , 1998, IEEE Trans. Fuzzy Syst..

[11]  Kazuo Tanaka,et al.  Parallel distributed compensation of nonlinear systems by Takagi-Sugeno fuzzy model , 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..

[12]  I. Petersen A stabilization algorithm for a class of uncertain linear systems , 1987 .

[13]  Peter J Seiler,et al.  SOSTOOLS: Sum of squares optimization toolbox for MATLAB , 2002 .

[14]  Ji Hoon Joung,et al.  What does ground tell us? Monocular visual odometry under planar motion constraint , 2011, 2011 11th International Conference on Control, Automation and Systems.