Technical Notes and Correspondence

International Journal of Control, Automation and Systems 2014; 12(3): 703-708

Published online May 10, 2014

https://doi.org/10.1007/s12555-013-0427-8

© The International Journal of Control, Automation, and Systems

Static Output Feedback Control for Continuous-time T-S Fuzzy Systems: An LMI Approach

Eun Tae Jeung* and Kap Rai Lee

Changwon National University

Abstract

This paper presents a design method of static output feedback control for continuous-time T-S fuzzy systems. Based on parallel distributed compensation (PDC), a static output feedback control is utilized. A new sufficient condition for the existence of static output feedback gains is represented in terms of linear matrix inequalities (LMIs). The sufficient condition does not need any transformation matrices, equality constraints, and block diagonal assumption of positive definite matrices in order to convert a bilinear matrix inequality (BMI) problem to an LMI one.

Keywords LMI, nonlinear systems, static output feedback, T-S fuzzy systems.

Article

Technical Notes and Correspondence

International Journal of Control, Automation and Systems 2014; 12(3): 703-708

Published online June 1, 2014 https://doi.org/10.1007/s12555-013-0427-8

Copyright © The International Journal of Control, Automation, and Systems.

Static Output Feedback Control for Continuous-time T-S Fuzzy Systems: An LMI Approach

Eun Tae Jeung* and Kap Rai Lee

Changwon National University

Abstract

This paper presents a design method of static output feedback control for continuous-time T-S fuzzy systems. Based on parallel distributed compensation (PDC), a static output feedback control is utilized. A new sufficient condition for the existence of static output feedback gains is represented in terms of linear matrix inequalities (LMIs). The sufficient condition does not need any transformation matrices, equality constraints, and block diagonal assumption of positive definite matrices in order to convert a bilinear matrix inequality (BMI) problem to an LMI one.

Keywords: LMI, nonlinear systems, static output feedback, T-S fuzzy systems.

IJCAS
March 2025

Vol. 23, No. 3, pp. 683~972

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