This paper presents a sliding mode observer (SMO) design method to estimate the states
and unknown inputs (UIs) in a class of non-infinitely observable (NIO) descriptor systems …

This paper considers the problem of fault-tolerant control (FTC) and fault reconstruction of
actuator faults for linear parameter varying (LPV) descriptor systems with time delay. A …

This article investigates the problem of fault detection and reconstruction in direct current
microgrids (dc MGs) with nonlinear loads. First, a state-space representation of the dc MG …

Finite‐state model predictive control (FS‐MPC) has been widely used for controlling power
converters and electric drives. Predictive torque control strategy (PTC) evaluates flux and …

In this paper, a fault estimator with linear fractional transformation (LFT) parameter
dependency is designed for the linear parameter‐varying (LPV) system of the aero‐engine …

An observer is presented for the simultaneous estimation of the system state and actuator
and sensor faults of a discrete recurrent neural network (RNN) system. The presented …

This study focuses on the observability of the probabilistic Boolean multiplex network. Firstly,
the dynamical model and structure of probabilistic Boolean multiplex network are proposed …

This paper investigates the state and actuator fault reconstruction problem in a class of
switched linear systems subjected to unknown external disturbances according to average …

In this article, robust fault diagnosis of a class of singular delayed linear parameter varying
systems is considered. The considered system has delayed dynamics with unknown time …

In this work, two state estimation methods are proposed for a class of discrete‐time
descriptor linear systems subject to bounded uncertainties. First, we propose set‐valued …