Abstract The Expectation Maximization (EM) algorithm has been widely used for parameter
estimation in data-driven process identification. EM is an algorithm for maximum likelihood …

This article is concerned with data-driven realization of fault detection (FD) for nonlinear
dynamic systems. In order to identify and parameterize nonlinear Hammerstein models …

This paper is concerned with the problem of tracking control for a class of switched nonlinear
systems in lower triangular form with unknown functions and arbitrary switchings. Two …

This paper investigates the state and fault estimation problem for linear continuous-time
switched systems with simultaneous disturbances, sensor and actuator faults, and two types …

In this paper, a novel descriptor estimator-based incipient fault estimation scheme is
designed for Lipschitz nonlinear descriptor systems with process disturbances and …

Recently, canonical correlation analysis (CCA) has been explored to address the fault
detection (FD) problem for industrial systems. However, most of the CCA-based FD methods …

In this paper, the problems of stability for switched positive linear systems (SPLSs) under
arbitrary switching are investigated in a continuous-time context. The so-called “copositive …

This paper is concerned with the network-based robust fault detection problem for a class of
uncertain discrete-time Takagi-Sugeno fuzzy systems with stochastic mixed time delays and …

In this paper, the problem of adaptive active fault-tolerant control for a class of nonlinear
systems with unknown actuator fault is investigated. The actuator fault is assumed to have …

This paper deals with a real-time-weighted observer-based fault-detection (FD) scheme for
Takagi-Sugeno (TS) fuzzy systems. The essential idea is to develop a weighted diagnostic …