Robust stabilization condition for a polynomial fuzzy system with parametric uncertainties

This paper concerns with the robust stabilization condition for the polynomial fuzzy system with parametric uncertainties. In the existing methods, nonlinear system with parametric uncertainties was modeled to the T-S fuzzy system. However, these methods has problem such as large number of the fuzzy rule. Therefore, this paper uses the polynomial fuzzy modeling method to manipulate the robust stabilization problem for the parameter uncertain nonlinear system. Furthermore, since new robust stabilization condition is derived from the polynomial Lyapunov function, so the condition is less conservative than previous robust stabilization condition. Finally, numerical example is given to show the validity of proposed method.

[1]  Lihua Xie,et al.  Output feedback H∞ control of systems with parameter uncertainty , 1996 .

[2]  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..

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

[4]  Young Hoon Joo,et al.  Stabilization of polynomial fuzzy large-scale system: Sum-of-square approach , 2011, 2011 11th International Conference on Control, Automation and Systems.

[5]  Jung-Shik Kong,et al.  Vibration reduction algorithm of the walking-will recognition sensor on irregular terrain , 2012, 2012 12th International Conference on Control, Automation and Systems.

[6]  Hun-ok Lim,et al.  New in-pipe robot capable of coping with various diameters , 2012, 2012 12th International Conference on Control, Automation and Systems.

[7]  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.

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

[9]  Hak-Keung Lam,et al.  Polynomial Fuzzy-Model-Based Control Systems: Stability Analysis Via Piecewise-Linear Membership Functions , 2011, IEEE Transactions on Fuzzy Systems.

[10]  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.

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