Zeroing neural network has proved its powerful abilities and efficiency in solving various
time-varying problems, and its convergence and robustness have been deeply studied in …

This study explores the generalization of heterogeneous medical data for monitoring
anomalies and changes over time using fuzzy intervals. The most important feature of these …

Analyzing the stability of many control systems required solving a couple of crisp Sylvester
matrix equations (CSMEs) simultaneously. However, there are some situations in which the …

Matrix equations have its own important in the field of control system engineering particularly
in the stability analysis of linear control systems and the reduction of nonlinear control …

In the fuzzy literature, researchers have applied the concept of Vec-operator and Kronecker
product for solving arbitrary Fuzzy Matrix Equations (FME). However, this approach is limited …

A couple of Sylvester matrix equations (CSME) are required to be solved simultaneously in
many applications, especially in analysing the stability of control systems. However, there …

Many problems in systems and control theory are related to solvability of Sylvester matrix
equations. In many applications, at least some of the parameters of the system should be …

In this modern technological world, several problems arise daily, whose maximum problems
have been unsolved in a classical way because of their ambiguity. To solve those problems …

In this paper, a new analytical method for solving trapezoidal fully fuzzy Sylvester matrix
equations (TrFFSME) with arbitrary coefficients is proposed. Sylvester matrix equations …

Sylvester matrix equations play a crucial role in control theory for controller design. Bipolar
Fully Fuzzy Sylvester Matrix Equations (FFSME), incorporating both positive and negative …