steering assist system controls the force transfer behavior of the steering system and improves the steering probability of the vehicle. moreover, it is an interface between the diver and vehicle. fault detection in electrical assisted steering systems is a challenging problem due to frequently use of these systems. this paper addresses the fault detection and reconstruction in automotive elect...

In this paper, a robust distributed fault estimation is addressed for class of nonlinear networked systems with actuator faults where influences from process disturbances are minimized. real-time monitoring systems, substantial challenge to find out the size and shape occurred faults, consequently, it significantly more difficult in multi-agent systems. To consider concern, approach has been pr...

This paper addresses a discussion about Unknown Input Observers (UIO) for Linear Parameter Varying (LPV) systems designed classically by using the polytopic representation. It is shown that even if the rank conditions ensuring the existence of an UIO are satisfied, the design may fail, due to the polytopic representation of the LPV system. In this paper a new design approach is proposed via a m...

Helicopter unmanned aerial vehicle (HUAV) are an ideal platform for academic researchs. Abilities of this to take off and landing vertically while performing hover flight various maneuvers have made them proper vehicles a wide range applications. This paper suggests model-based fault detection isolation HUAV in mode. Moreover HUAV, roll, pitch yaw actuator faults coupled affect each other, henc...

In this article, we consider a hierarchical control-based dc microgrid (DCmG) equipped with unknown input observer (UIO)-based detectors, where the potential false data injection (FDI) attacks and distributed countermeasure are investigated. First, find that vulnerability of UIO-based detector originates from lack knowledge true inputs. Zero trace stealthy (ZTS) can be launched by secretly faki...

In this study, an unknown input observer (UIO) is developed in explicit form to estimate unmeasurable states and inputs (UIs) for nonlinear implicit systems represented by the discrete-time Takagi-Sugeno (DTSIS) case of premise variables. The method employed based on singular value decomposition (SVD) augmenting state vector, which formed partly system UIs. convergence augmented estimation erro...

Dear editor, This letter is concerned with the control of cyber-physical systems (CPSs) in presence malicious false data injection (FDI) attacks on actuators. The FDI actuators may result faults or even instability CPSs. To tackle this problem, an unknown input observer (UIO) proposed to estimate system states and attack signals. For aim suppressing impact attacks, a discrete-time sliding mode ...