In this article, a new model order reduction scheme is proposed for the simplification of large-
scale linear dynamical models. The proposed technique is based on the balanced …

In this article, a new system diminution technique is proposed for the reduction in complexity
and controller design of the higher-order models. This method is based on the Mihailov …

In practice, model-based fault diagnosis methods are essential to improve availability with
reduced operating costs and good operational reliability of industrial systems. This is based …

In this study, based on tensor decomposition and matrix product, the authors investigate two
model‐order reduction (MOR) methods for the quadratic‐bilinear (QB) systems which are …

Monitoring control of industrial systems is essential for the good productivity and safety of
installations and operators, with better performance that must be guaranteed. This is often …

This paper extends some methods in model order reduction (MOR) of nonlinear models by
trajectory piecewise-linear models based on output weighting (TPWLOW). The devised …

The difficulty of observer design for a general class of nonlinear system and the reduction of
chattering phenomenon are still challenging tasks in the theory of sliding mode observers …

The practice of control strategies and their applications on industrial systems requires
reliable models in implementation, with an identification of their variables involved in the …