Observer Design for Motorcycle’s Lean and Steering Dynamics Estimation: a Takagi-Sugeno Approach

Design of nonlinear parity approach to fault detection and identification based on Takagi-Sugeno fuzzy model and unknown input observer in nonlinear systems

In this study, a novel fault detection scheme is developed for a class of nonlinear system in the presence of sensor noise. A nonlinear Takagi-Sugeno fuzzy model is implemented to create multiple models. While the T-S fuzzy model is used for only the nonlinear distribution matrix of the fault and measurement signals, a larger category of nonlinear systems is considered. Next, a mapping to decou...

An alternative to inverse dynamics joint torques estimation in human stance based on a Takagi-Sugeno unknown inputs observer in the descriptor form

An alternative to inverse-dynamics joint-torques estimation in human stance is proposed. This alternative is based on unknown-input observers which, from measurements of the angular positions, allow real-time estimation of joint torques and angular velocities. To design the aforementioned observer, a nonlinear state-space dynamical descriptor model is proposed. The descriptor model is then writ...

Robust Takagi-Sugeno sensor fault tolerant control strategy for nonlinear system

Design of Observers for Takagi-Sugeno Systems with Immeasurable Premise Variables : An L2 Approach

A new observer design method is proposed for Takagi-Sugeno systems with immeasurable premise variables. Since the state estimation error can be written as a perturbed system, then the proposed method is based on the L2 techniques to minimize the effect of the perturbations on the state estimation error. The convergence conditions of the observer are established by using the second method of Lya...

Design of State Observer for a Class of Non linear Singular Systems Described by Takagi-Sugeno Model

Abstract In this paper, we propose a new method to design an observer for a class of non linear singular systems described by Takagi-Sugeno (TS) model, with measurable decision variables. The idea of the proposed approach is based on the singular value decomposition. The convergence of the state estimation error is studied using the Lyapunov theory and the stability conditions are given in term...