Abstract Model-based methods are widely used for the fault diagnosis of stochastic dynamic
systems by simply using the input–output relationship of the system. Despite encouraging …

In this paper, we design a proportional integral observe for a nonlinear synchronous
reluctance motor described by a Takagi–Sugeno multi-model. In this design, both states and …

Reliable control of cement kiln under sensor faults is vital to ensure cement clinker quality.
To accomplish this objective, an active fault-tolerant control (FTC) scheme is proposed for …

This paper investigates the observer-based consensus control problem for linear parameter-
varying (LPV) multi-agent systems (MASs) with unknown inputs. Firstly, an interval observer …

This paper studies the problem of sensor fault estimation for linear systems in the presence
of unknown inputs in both input and output channels. Relying on matrix equation theory, the …

This article presents an innovative induction motor state observer designed to reconstruct
magnetic fluxes and the angular speed of an induction motor for speed sensorless control …

The conventional methods of observer poles placement in sensor fault detection usually
adopt the trial-and-error methods. These methods cannot achieve global optimal …

This paper presents the results of recently conducted research on Luenberger observers
with non-proportional feedbacks. The observers are applied for the reconstruction of …

This paper recommends an unknown input observer (UIO) for uncertain nonlinear time-
delay dynamics that enables online fault estimation. The main novelty of this paper is …

In this paper, a novel nonlinear unknown input observer is proposed in order to fault
estimation for nonlinear uncertain systems with time delays. By the estimation of the faults …