This paper deals with the problem of reliable and robust H∞ static output feedback (SOF)
controller synthesis for continuous-time nonlinear stochastic systems with actuator faults …

This study presents the model and control of the magnetic levitation system. The model
considers the angular position of the ball, also a neural network approximates the …

In this investigation, a model free discrete time neural network control is designed for the
trajectory tracking of a kind of nonlinear processes. The introduced control has three main …

Magnetic Levitation system becomes a hot topic of study due to the minimum friction and low
energy consumption which regards as very important issues. This paper proposed a new …

Abstract The Fault and Anomaly Detection and Isolation (FADI) in Programmable Logic
Controller (PLC) controlled systems is an important and challenging problem. In this paper …

In this paper, a hybrid controller with observer is introduced for the estimation and rejection
of a disturbance. It is based on the combination of the sliding mode technique and the output …

In this paper, the problem of learning in big data is considered. To solve this problem, a new
algorithm is proposed as the combination of two important evolving and stable intelligent …

This paper investigates the problem of the decentralized state feedback controller design for
a class of nonlinear large-scale systems described by uncertain affine fuzzy models with …

In this paper, an adaptive fault diagnosis approach is proposed in order to perform the fault
diagnosis of manufacturing systems. The desired (normal) behavior is represented by a set …

The magnetic levitation system is a typical system with many successful applications in
practice. Due to the inherent instability and strong open-loop nonlinearity of the MLS, a …