1. Multi-Objective Distribution Network Analysis Reconfiguration Considering Reliability of Power Supply based on Particle Swarm Optimization

Mostafa Karimi

Volume 09, Issue 04 , Autumn 2020, Pages 139-142

  The distribution dispatcher can modify the overall distribution network configuration without additional investment and resource input by optimizing the switch combination, thus changing the distribution network operating structure. A multi-objective power distribution network reconfiguration model optimization ...  Read More

2. Prediction of Polymeric Insulator Leakage Current under Water Droplets Using Neural Network

Zahra Ghiasi; Faramarz Faghihi; A.A. Shayegani Akmal

Volume 09, Issue 04 , Autumn 2020, Pages 143-148

  In this paper, the parameters of electric field and leakage current (LC) amplitude in polymeric insulator are calculated using finite element method (FEM) and predicted in the neural network. The variable angle and electrical conductivity of water droplets are changed.  Increased electric field ...  Read More

3. Investigating and Improving the Uncertainty of Control Systems Using Fuzzy Differential Equations

Fateme Arab

Volume 09, Issue 04 , Autumn 2020, Pages 149-158

  Fuzzy differential equations have been widely used in recent years to model the uncertainty of mathematical models, and modeling has always been one of the practical ways to better understand and avoid wasting time in biological experiments. In this paper, in addition to HIV biology, the necessity of ...  Read More

4. Calculating the Eigenvalues of the Quantum Dot Operator Method and Exact Diagonalization Method

Mahdiyeh Ghasemi; Mohammad Reza Shokouhi

Volume 09, Issue 04 , Autumn 2020, Pages 159-164

  In this paper, first, we introduced a quantum system and how to create a quantum dot-paid and then with regard to the calculation of a quantum system uses quantum dots define a Hamiltonian for a Coulomb potential is caused by an electric dipole special functions particularly well as it could have obtained ...  Read More

5. An Overview of Fuzzy Inference Algorithms

Omid Feizollahzade

Volume 09, Issue 04 , Autumn 2020, Pages 165-167

  A fuzzy inference system is a mapping of input-to-output space implemented using membership functions and fuzzy rules. Intelligent, control and decision making is one of the most important fuzzy inference algorithms. Mamdani and Sugno fuzzy inference algorithms are examined and their advantages and disadvantages ...  Read More

6. Satellite Attitude Control by using Back Steeping and Feedback Linearization Methods

Saeid Rafi; Mahdi Siahi; Ruhollah Barzamini

Volume 09, Issue 04 , Autumn 2020, Pages 169-173

  In this paper, a combination of step-back theories and linear feedback is used to control the status of a satellite. Dynamic equations govern the status of nonlinear and multi-input-multi-output satellites. The angles of rotation, the direction and top of the outputs of this system and the torques around ...  Read More