H∞ Control of Polynomial Fuzzy Systems: A Sum of Squares Approach

Authors

  • Bomo S. Wibowo Dept. of Electrical Engineering, University of Tanjungpura
  • Bambang Riyanto Trilaksono School of Electrical Engineering and Informatics, Bandung Institute of Technology
  • Arief Syaichu-Rohman School of Electrical Engineering and Informatics, Bandung Institute of Technology

DOI:

https://doi.org/10.5614/j.eng.technol.sci.2014.46.2.3

Abstract

This paper proposes the control design ofa nonlinear polynomial fuzzy system with H∞ performance objective using a sum of squares (SOS) approach. Fuzzy model and controller are represented by a polynomial fuzzy model and controller. The design condition is obtained by using polynomial Lyapunov functions that not only guarantee stability but also satisfy the H∞ performance objective. The design condition is represented in terms of an SOS that can be numerically solved via the SOSTOOLS. A simulation study is presented to show the effectiveness of the SOS-based H∞ control designfor nonlinear polynomial fuzzy systems.

Downloads

Download data is not yet available.

References

Takagi, T.&Sugeno, M., Fuzzy Identification of Systems and Its Applications to Modeling and Control, IEEE Transactions on Systems, Man, and Cybernetics,15(1), pp.116-132, 1985.

Tanaka,K., Taniguchi, T.& Wang, H.O., Model-based Fuzzy Control of TORA System: Fuzzy Regulator and Fuzzy Observer Design via LMIs that Represent Decay Rate, Disturbance Rejection, Robustness, Optimality, Proceedings of the 7th IEEE International Conference on Fuzzy Systems, Alaska, pp. 313-318, 1998.

Tanaka, K. & Wang, H.O.,Fuzzy Control Systems Design and Analysis: A linear Matrix Inequality Approach, John Wiley & Sons, Inc., pp.49-80, 2001.

Tanaka, K., Yoshida, H.,Ohtake,H.& Wang, H.O.,ASum of SquaresApproachto Modelingand Controlof NonlinearDynamicalSystemswith PolynomialFuzzySystems, IEEE Transactions on Fuzzy Systems, 17(4), pp.911-922,2009.

Sugeno, M. & Kang, G.T.,Fuzzy Modeling and Control of Multilayer Incinerator,Fuzzy Sets Systems, 18, pp. 329-346, 1986.

Tanaka, K., Yamauchi, K.,Ohtake, H.& Wang, H.O.,Guaranteed CostControl of PolynomialFuzzySystemsvia a Sum of SquaresApproach, Proceedings of the 46th Conference on Decision and Control, Los Angeles., USA, pp.5954-5959, 2007.

Sala, A. &Arino, C.,Polynomial Fuzzy Models for Nonlinear Control: a Taylor Series Approach, IEEE Transactions on Fuzzy Systems, 17(6), pp. 1284-1295, 2009.

Parillo, P.A.,Structured Semidefinite Programs Semialgebraic Geometry Methods in Robustness and Optimization, Ph.D thesis, California Institute of Technology, Pasadena, 2000.

Prajna,S.,Papachristodoulou, A.& Wu,F.,Nonlinear ControlSynthesisby Sum of SquaresOptimization: aLyapunov-based Approach, Proceedings of the Asian Control Conference, Melbourne, Australia, pp.157-165, 2004.

Zheng, Q. &Wu,F.,Generalized Nonlinear Ha??Synthesis Condition with Its Numerically Efficient Solution, Int. Journal of Robust and Nonlinear Control, 21, pp. 2079-2100, 2011.

Prajna, S., Papachristodoulou, A., Seiler, P.&Parrilo, P.A.,SOSTOOLS:Sum of Squares Optimization Toolbox for MATLAB, version 2.00, 2004.

Lu, W.M. & Doyle, J.C.,Ha?? Control of Nonlinear Systems: a Convex Characterization,IEEE Trans. Automatic Control, 40(9), pp.1668-1675, 1995.

Van der Shaft, A.J., A State-space Approach to nonlinear Ha??Control.Systems and Control Letters, 27(1), pp. 21-27, 1991.

Isidori, A.&Astolfi, A., Disturbance Attenuation and Ha??Control via Measurement Feedback in Nonlinear Systems, IEEE Transactions on Automatic Control,37(9), pp. 1283-1293, 1992.

Zhou, K., Doyle, J.C.& Glover, K., Robust and Optimal Control, Prentice Hall: Upper Saddle River, New Jersey, 1995.

Sanjaya, B.W. & Riyanto, B., Ha?? Control of Nonlinear Polynomial Fuzzy Systems: aSum of Squares Approach, Proceedings of the International Conference on Intelligent Unmanned System (ICIUS), Bali, Indonesia, pp. 530-536, 2010.

Downloads

Published

2014-07-01

How to Cite

Wibowo, B. S., Trilaksono, B. R., & Syaichu-Rohman, A. (2014). H∞ Control of Polynomial Fuzzy Systems: A Sum of Squares Approach. Journal of Engineering and Technological Sciences, 46(2), 152-169. https://doi.org/10.5614/j.eng.technol.sci.2014.46.2.3

Issue

Section

Articles