Faults and failures in the system components are two main reasons for the instability and the
degradation in control performance. In recent decades, fault-tolerant control (FTC) …

This paper is concerned with the identification problem for multivariable equation-error
systems with autoregressive moving average noise using the hierarchical identification …

In this paper, the reliable control problem of nonlinear singularly perturbed systems subject
to random actuator faults is studied. A Takagi-Sugeno fuzzy model is utilized to describe the …

In this paper, we consider the parameter estimation problem of dual-frequency signals
disturbed by stochastic noise. The signal model is a highly nonlinear function with respect to …

To achieve the safe, reliable autonomous operation of spacecraft, research on the fault
diagnosis of control systems has attracted the attention of engineers and academicians …

To meet the rising demands for safety and reliability of modern industrial control systems, the
model-based fault diagnosis problem has attracted much attention in the past few decades …

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 deals with the issue of dissipative synchronization for Markov jump neural
networks subject to time-varying interval delays by using the sampled-data control method …

In this article, the active fault-tolerant control (FTC) issue is addressed for switched linear
parameter varying (LPV) systems in the discrete-time domain. A general dwell-time property …

This paper presents a novel interval fault estimation approach by using zonotope technique
for discrete-time linear parameter-varying systems in the presence of bounded parametric …