AUT Journal of Modeling and Simulation

AUT Journal of Modeling and Simulation (MISCJ)

The AUT Journal of Modeling and Simulation is one of the publishing journals at Amirkabir University of Technology. The journal has been running for more than 50 years, publishing numerous English original articles.

The reviewers of the journal comprise of university academics around the world. The review strategy of AJMS is single-blind, peer review, electronic and print, biannually publication. The editorial board members meet regularly to decide about the articles. The editorial board members are all senior researchers from different universities all over the world. All modeling and simulation fields are of interest to this Journal. Most research and experiments in the fields of science, engineering have been spending significant efforts to extract rules from various complicated phenomena by observations, recorded data, analytical or experimental derivations and so on (Modeling). The rules are normally formulated by quantitative expressions (quantitative models) or qualitative expressions (qualitative models). Identification and Simulation provides mechanisms to establish the models and Control provides mechanisms to improve the performance of system, represented by their models.

We, therefore, request all researchers and university lecturers to send their original scientific manuscripts to this journal.

Dear researchers, to view the records of the Amirkabir Scientific Research Journal by AJSR.AUT.AC.IR.

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AUT Journal of Modeling and Simulation (MISCJ)

Research Article

Decentralized Model Reference Adaptive Control of Large Scale Interconnected Systems with Both State and Input Delays

Integration Scheme for SINS/GPS System Based on Vertical Channel Decomposition and In-Motion Alignment

Design of Observer-Based H∞ Controller for Robust Stabilization of Networked Systems Using Switched Lyapunov Functions

Robust Adaptive Control of Voltage Saturated Flexible Joint Robots with Experimental Evaluations

An Efficient Data Replication Strategy in Large-Scale Data Grid Environments Based on Availability and Popularity

Dynamic Sliding Mode Control of Nonlinear Systems Using Neural Networks

Kinematic and Dynamic Analyses of Tripteron, an Over-Constrained 3-DOF Translational Parallel Manipulator, through Newton-Euler Approach

Case Study

Forecasting Gold Price Changes: Application of an Equipped Artificial Neural Network

Research Article

Presenting a Model for Multiple-Step-Ahead-Forecasting of Volatility and Conditional Value at Risk in Fossil Energy Markets

Review Article

Adaptive attitude controller of a reentry vehicles based on Back-stepping Dynamic inversion method