this paper intends to offer a new iterative method based on arti cial neural networks for finding solution of a fuzzy equations system. our proposed fuzzi ed neural network is a ve-layer feedback neural network that corresponding connection weights to output layer are fuzzy numbers. this architecture of arti cial neural networks, can get a real input vector and calculates its corresponding fu...

In this paper, the simultaneous stabilization problem is considered using the matrix inequality approach. Some necessary and sufficient conditions for simultaneous stabilizability of r strictly proper multi-input/multi-output (MIMO) plants via static output feedback and state feedback are obtained in the form of coupled ARI’s. It is shown that any such stabilizing feedback gain is the solution ...

The practice of ‘writing to learn’ has been propounded as fast-tracking the dynamic process of noticing problems in L2 writing. However, a marked melioration in learners’ attempted output requires a form of corrective feedback, among which modeling has proven to bear vigorous input enhancement effects. The present study attempted to inspect what EFL learners notice throughout their own output a...

In this paper, the output feedback controller design problem is addressed for linear systems subject to sensor nonlinearity. First, the existence condition of an output feedback controller is derived for systems with sensor sector nonlinearity. A design method for the output feedback controller is proposed using a linear-matrix inequality (LMI) based approach. The result is then applied to the ...

This paper addresses the problem of global nite-time design via dynamic output feedback. The results are obtained in the form of the so-called \separation principle", i.e., the design methods for the nite-time output feedback laws are based on nite-time state feedback laws and nite-time observers, which can be designed separately. Conditions are given to assure that the constructed output feedb...