In this paper, a novel approach is proposed for state and unknown input estimation of Takagi-
Sugeno fuzzy systems. By introducing an augmented state vector, containing both system …

This article studies the fault estimation problem for a class of continuous-time nonlinear
Markovian jump systems with unmeasured states, unknown bounded sensor faults, and …

This paper presented a control scheme by imposing a Takagi–Sugeno fuzzy model and the
Laguerre functions into the model predictive control for nonlinear systems. The Takagi …

In this paper, a robust fault estimation for polynomial systems with time delay via a
polynomial adaptive observer is presented and described. In fact, in contrast to previous …

In order to solve the high-precision motion control problem of the n-degree-of-freedom (n-
DOF) manipulator driven by large amount of real-time data, a motion control algorithm based …

This paper proposes a high‐gain observer for a class of nonlinear fractional‐order systems.
Indeed, this approach is based on Caputo derivative to solve the estimation problem for …

Abstract The Kalman Filter (KF) is the most popular approach in sensor fusion and
navigation applications. Improving the accuracy of estimation may increase the navigation …

This article focuses on the design of a proportional integral observer (PIO) for fault detection
in uncertain systems. For multi-output linear systems with actuator fault and disturbances, an …

This paper considers the problem of simultaneous actuator and sensor faults estimation for
linear parameter varying system expressed in the polytopic representation based on robust …

This study introduces a novel approach to enhance state and unknown input estimation for
the synchronous reluctance motor, utilizing the Takagi-Sugeno fuzzy representation. A …