This paper proposes two nonlinear estimation approaches, namely based on Extended
Kalman Filter (EKF) and a Takagi-Sugeno Fuzzy Observer with 32 rules (TSFO-32), for a …

Since the advent of linear matrix inequality (LMI) theory and toolboxes in the early nineties,
many problems in control which did not have an explicit analytical solution can be solved …

The present paper provides a systematic way to generalize Takagi–Sugeno observer design
for discrete-time nonlinear descriptor models. The approach is based on Finsler׳ s lemma …

The present paper studies sitting control for persons with complete thoracic spinal cord
injury by means of automatic control. The methodology begins by modeling sitting control …

This paper proposes a conventional control structure with two Takagi-Sugeno Fuzzy
Observers (TSFOs) for estimating the angular speed, the overall moment of inertia and the …

This paper addresses the problem of simultaneous estimation of unmeasurable states and
unknown inputs (UIs) for a class of discrete-time nonlinear descriptor models (DNDMs) …

This paper focuses on proportional derivative observer design for a class of Takagi-Sugeno
fuzzy singular systems. According to the available knowledge on premise variables, first …

In this study, we develop a fuzzy observer for a class of discrete-time nonlinear implicit
models that are described by the Takagi–Sugeno structure and affected by actuator and …

Many of the recent advances on control and estimation of systems described by Takagi-
Sugeno (TS) fuzzy models are based on matrix inversion, which could be a trouble in the …

In this paper, a state and fault observer design based on Euler discretization for a class of
Takagi-Sugeno implicit models (TSIMs) with unmeasurable premise variables satisfying the …