Observer design for two-wheeled vehicle : A Takagi-Sugeno approach with unmeasurable premise variables

Dalil Ichalal (1) , Hichem Arioui (1) , Said Mammar (1)

1 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes

This paper is dedicated to the problem of observer design for Takagi-Sugeno (T-S) nonlinear systems with unmeasurable premise variables (TSUPV) and application to autonomous bicycle system. The main idea is based on the use of differential mean value theorem combined to the sector nonlinearity transformation. The objective of this approach is to make the state estimation error dynamic on a T-S form which allows to apply the classical Lyapunov analysis to derive convergence conditions. The design algorithm is proposed in terms of linear matrix inequalities (LMI). To illustrate the proposed methodology, a nonlinear bicycle model is considered.

Domains: Engineering Sciences [physics]; Automatic

Dalil Ichalal, Hichem Arioui, Said Mammar. Observer design for two-wheeled vehicle : A Takagi-Sugeno approach with unmeasurable premise variables. 19th Mediterranean Conference on Control and Automation, MED'11, Jun 2011, Corfu, Greece. ⟨hal-00593409⟩