Recently, to ensure the reliability and safety of modern large-scale industrial processes, data-
driven methods have been receiving considerably increasing attention, particularly for the …

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 provides an overview of the recent developments in data-based techniques
focused on modern industrial applications. As one of the hottest research topics for …

Industrial cyber-physical systems (ICPSs) are the backbones of Industry 4.0 and as such,
have become a core transdisciplinary area of research, both in industry and academia. New …

In this paper, two online schemes for an integrated design of fault-tolerant control (FTC)
systems with application to Tennessee Eastman (TE) benchmark are proposed. Based on …

The particle filter (PF) provides a kind of novel technique for estimating the hidden states of
the nonlinear and/or non-Gaussian systems. However, the general PF always suffers from …

Soft sensors for regression applications (SSR) are inferential models that use online
available sensors (eg temperature, pressure, flow rate, etc.) to predict quality variables …

With growing dependence of industrial robots, a failure of an industrial robot may interrupt
current operation or even overall manufacturing workflows in the entire production line …

Process safety, system reliability, and product quality are becoming increasingly essential in
the modern industry. As a result, prognosis and fault diagnosis of the complex systems have …

This paper investigates a difficult problem of tracking control for robotic manipulations with
guaranteed high accuracy. Uncertain kinematics, unknown torques including unknown …