En
  • دکتری (1390)

    مهندسی برق - کنترل

    دانشگاه تهران، ایران

  • کارشناسی‌ارشد (1382)

    مهندسی برق - کنترل

    دانشگاه صنعتی شریف،

  • کارشناسی (1380)

    مهندسی برق - الکترونیک

    دانشگاه شهید بهشتی،

  • شناسای عیب و کنترل تحمل‌پذیر عیب
  • کنترل پیش‌بین مبتنی بر مدل
  • کنترل مبتنی بریادگیری تقویتی و داده محور
  • اتوماسیون و ابزار دقیق
  • شبکه های یادگیری عمیق
  • سیستمهای کنترل پیشرفته

امین رمضانی (عضو انجمن IEEE از سال 1384) در سال 1358در خوزستان، ایران، متولد شد. ایشان مدرک کارشناسی مهندسی برق از دانشگاه شهید بهشتی تهران سال 1380، و مدرک کارشناسی ارشد سیستم های کنترل دانشگاه صنعتی شریف، تهران، سال 1383 و دکترای تخصصی رشته مهندسی برق از دانشگاه تهران، تهران، ایران در سال 1390 اخذ کرده اند. از سال 2012، به عنوان استادیار، بهگروه کنترل و اتوماسیون ابزار دقیق دانشکده مهندسی برق، دانشگاه تربیت مدرس، تهران، ایران پیوسته اند. ایشان مسئول آزمایشگاه کنترل پیشرفته است و به عنوان عضو کمیته علمی در چندین کنفرانس داخلی و خارجی و سردبیر و داور مجلات بین المللی در زمینه سیستم های کنترل همکاری می کند. زمینه های پژوهشی فعلی او شامل سیستم های کنترل تحمل پذیر عیب، شبکه های یادگیری عمیق، سیستم های کنترل یادگیرنده و پیش بینی مبتنی بر مدل، سیستم های کنترل تصادفی، سیستم های هیبریدی و کاربرد کنترل پیشرفته در سیستمهای قدرت است. دکتر رمضانی عضو IEEE از سال 2005 و عضو مهندسین ابزار و کنترل جامعه ایرانی از سال 2012 است. او دارای بیش از 50 مقاله مجله و 100مقاله کنفرانس است.

ارتباط

رزومه

Fault tolerant control of islanded AC microgrids under sensor and communication link faults using online recursive reduced-order estimation

AminRamezani AbolghasemSardashti
Journal PapersInternational Journal of Electrical Power & Energy Systems , Volume 126 , Issue A, 2021 March , {Pages 106578 }

Abstract

Distributed model predictive control for nonlinear large-scale systems based on reduced-order cooperative optimisation

Ahmad Mirzaei, Amin Ramezani
Journal PapersInternational Journal of Systems Science , 2021 March 2, {Pages 19-Jan }

Abstract

In this paper, a novel cooperative constrained distributed model predictive control algorithm is proposed to control the nonlinear interconnected constrained large-scale systems. In this algorithm, a novel reduced-order cooperative optimisation approach is proposed which is its main contribution that reconstructs and improves the global cost function of any local controller. In proposed algorithm, each local controller computes its optimal control by minimising the corresponding global cost function which is a combination of its own and its neighbouring subsystems’ cost functions. The sufficient conditions are derived to guarantee the recursive feasibility and closed-loop stability specifications to ensure the convergence of the overall s

Model-free high-order terminal sliding mode controller for Lipschitz nonlinear systems. Implemented on Exoped? exoskeleton robot

Nahid Ebrahimi, Sadjaad Ozgoli, Amin Ramezani
Journal PapersInternational Journal of Systems Science , 2021 January 21, {Pages 13-Jan }

Abstract

In this paper, a model-free high-order terminal sliding mode controller (TSMC) is developed for single input–single output Lipschitz nonlinear systems in presence of external disturbances. The proposed method is data-driven, i.e. it is based on online input and output information. In another word, the method is not model-based and can be applied to systems with unknown dynamics. The proposed method employs a high-order switching surface to mitigate the chattering problem. The disturbance estimation technique is also applied to overcome external disturbances. Rigorous theoretical analysis is carried out to verify convergence of states to the switching surface. To demonstrate the effectiveness and applicability of the proposed approach in d

Incipient fault detection in nonlinear non-Gaussian noisy environment

H Safaeipour, M Forouzanfar, A Ramezani
Journal PapersMeasurement , Volume 174 , 2021 April 1, {Pages 109008 }

Abstract

Incipient fault detection in real-time nonlinear closed-loop systems in the presence of unwanted stochastic terms remains a challenging issue, especially in mixed Gaussian and non-Gaussian environments. This paper is concerned with incipient-fault detection in such systems. To this goal, based on the autocorrelation of the windowed residual signal and the reasonable assumptions in the nonlinear system, an online incipient fault detection with acceptable computational efforts and an adaptive-robust residual scheme is provided. Also, a closed-loop form of the three-tank system (DTS200) has been devised and simulated to demonstrate the effectiveness of the proposed solution.

Investigation of olfactory receptor family 51 subfamily j member 1 (OR51J1) gene susceptibility as a potential breast cancer-associated biomarker

Maryam Asadi, Nahid Ahmadi, Simin Ahmadvand, Ali Akbar Jafari, Akbar Safaei, Nasrollah Erfani, Amin Ramezani
Journal PapersPloS one , Volume 16 , Issue 2, 2021 February 10, {Pages e0246752 }

Abstract

Among cancer treatment methods, targeted therapy using cancer-associated biomarkers has minimum side effects. Recently olfactory receptor (OR) family attracts the researcher’s attention as a favorable biomarker of cancer. Here, a statistical approach using complete data from the human protein atlas database was used to evaluate the potential of OR51J1 gene as a cancer-associated biomarker. To confirm the findings of statistical analysis, the OR51J1 mRNA and protein expression levels in breast tumor and normal tissue were measured using quantitative Real Time PCR (qRT-PCR) and immunohistochemistry (IHC) techniques. The association with clinicopathological factors was analyzed. Statistical analysis revealed that OR51J1 has a high expression

Gas pipeline leakage detection in the presence of parameter uncertainty using robust extended Kalman filter

Mohadese Jahanian, Amin Ramezani, Ali Moarefianpour, Mahdi Aliari Shouredeli
Journal PapersTransactions of the Institute of Measurement and Control , 2021 February 22, {Pages 0142331221989117 }

Abstract

One of the most significant systems that can be expressed by partial differential equations (PDEs) is the transmission pipeline system. To avoid the accidents that originated from oil and gas pipeline leakage, the exact location and quantity of leakage are required to be recognized. The designed goal is a leakage diagnosis based on the system model and the use of real data provided by transmission line systems. Nonlinear equations of the system have been extracted employing continuity and momentum equations. In this paper, the extended Kalman filter (EKF) is used to detect and locate the leakage and to attenuate the negative effects of measurement and process noises. Besides, a robust extended Kalman filter (REKF) is applied to compensate f

Cooperative optimization-based distributed model predictive control for constrained nonlinear large-scale systems with stability and feasibility guarantees

Ahmad Mirzaei, Amin Ramezani
Journal PapersISA transactions , 2021 January 13, {Pages }

Abstract

This paper proposes a cooperative distributed model predictive control (DMPC) to control the constrained interconnected nonlinear large-scale systems. The main contribution of this approach is its proposed novel cooperative optimization that improves the global cost function of any subsystem. Each subsystem calculates its optimal control by solving the corresponding global cost function. For each subsystem, the global cost function is defined based on a combination of cost functions of all subsystems. If the sampling time is selected appropriately, then the feasibility of the proposed approach will be guaranteed. Furthermore, the sufficient conditions for stability and consequently, for the convergence of the whole system states towards the

Leader–follower consensus control for a nonlinear multi-agent robot system with input saturation and external disturbance

Majid Naserian, Amin Ramazani, Ali Khaki-Sedigh, Ali Moarefianpour
Journal PapersSystems Science & Control Engineering , Volume 9 , Issue 1, 2021 January 1, {Pages 260-271 }

Abstract

This paper addresses the leader–follower consensus control problem for a nonlinear multi-agent robot system with control input constraint and external disturbances. Robot system is one of the most important practical systems in the industry. Due to the presence of disturbances in most practical systems, this paper considers the issue of finite-time leader–follower consensus control of the nonlinear multi-agent robot system along with actuator saturation and bounded disturbance. The modified terminal sliding mode control method is suggested for the system which is able to guarantee the stability of the overall system and fast finite-time leader–follower consensus control. For two different scenarios, the simulation of multi-agent robot

An Analytical Robust Sensor Fault Detection and Fault Tolerant Control in Quadrotor

A Mohammadi, A Ramezani
Journal PapersAutomatic Control and Computer Sciences , Volume 55 , Issue 1, 2021 January , {Pages 38-52 }

Abstract

Nowadays, because of advancements in technology and increasing use of machine for daily tasks, the optimal use of these devices has become an important issue. Quadrotor is one of tools that are widely used today in various fields of military, agriculture, meteorology, researches, transportation and so on. In this paper, our model is a quadrotor. One of the issues that threaten the optimal performance of today’s machines is fault. The fault is any undesired factor that disables the system’s performance. The fault can be applied to different parts of an industrial system, including system actuators, sensors or parameters. In this paper, we intend to investigate the sensor fault in a quadrotor model. So that, first the sensor fault is dete

Tatibody, a recombinant antibody with higher internalization potency

Amin Ramezani, Amir Asgari, Elina Kaviani, Ahmad Hosseini, Abbas Ghaderi
Journal PapersMolecular Immunology , Volume 135 , 2021 July 1, {Pages 320-328 }

Abstract

Using antibody drug conjugates (ADC) which can exclusively bind to their target cells and upon internalization release their toxic agent, is one of the most effective methods for killing tumor cells. Therefore, increasing the internalization rate is an important factor for tumor treatment in this case. The aim of the present study was to develop a new variant of pertuzumab (an anti-ErbB2 humanized antibody) with higher internalization rate that can be a good candidate for the production of ADC. To this end, the Human Immunodeficiency Virus TAT Protein Transduction Domain (TAT-PTD) was replaced into the structure of the pertuzumab. At first, the best site in antibody heavy chain constant region for the replacement of TAT-PTD was predicted th

Hybrid Model Predictive Control strategy of renewable resources in DC microgrids based on Mixed Logic Dynamics and Measurements

Amirreza Marandi, Amin Ramezani, Reza Marandi Taleghani
Conference Papers2021 7th International Conference on Control, Instrumentation and Automation (ICCIA) , 2021 February 23, {Pages 05-Jan }

Abstract

A mixed logical dynamic model is established for hybrid concept by studying the microgrid hybrid property in depth. As a state variable, the energy in the DC bus is defined, the process purposes and constraints are provided with continuous state variables, logical variables and supplementary variables. The model predictive control theory is used in order to minimize battery swapping times among charging and discharge, based on the mixed logical dynamic model. The objective function of the quadric form is configured and an optimum vector sequence of input control is obtained. A simulation is developed, simulation results attest to the suggested approach that can both minimize the fluctuation of DC bus voltage and reduce battery energy storag

Intelligent control of islanded AC microgrids based on adaptive neuro-fuzzy inference system

H Karimi, MTH Beheshti, A Ramezani, H Zareipour
Journal Papers , , {Pages }

Abstract

An Unsupervised Bearing Fault Diagnosis Based on Deep Subdomain Adaptation Under Noise and Variable Load Condition

A Ramezani
Journal Papers , , {Pages }

Abstract

Adaptive analytical sensor fault detection, estimation and tolerant control of quadrotor in the presence of uncertainty and disturbance

A Mohammadi, A Ramezani
Journal Papers , , {Pages }

Abstract

Stabilization Voltage of a DC-Microgrid Using ANFIS Controller Considering EVs, DERs, and Transient Storage

H Zolfaghari, A Ramezani, HR Momeni
Journal Papers , , {Pages }

Abstract

Robust extended Kalman filtering for nonlinear systems in the presence of unknown inputs and correlated noises

M Jahanian, A Ramezani, A Moarefianpour, MA Shoorehdeli
Journal Papers , , {Pages }

Abstract

Robust tube-based MPC with enlarging the region of attraction for tracking of switched systems

Y Abbasi, HR Momeni, A Ramezani
Journal Papers , , {Pages }

Abstract

A New Sliding Mode Observer Design for Fault Estimation in a Class of Nonlinear Fractional-Order Systems Based on the Super-Twisting Algorithm

SMM Mousavi, A Ramezani
Journal Papers , , {Pages }

Abstract

A Recursive Delay Estimation Algorithm for Linear Multivariable Systems with Time-varying Delays

I Shafikhani, HS Karimi, M Mohammadian, A Ramezani, HR Momeni
Journal Papers , , {Pages }

Abstract

Control of Main Steam Pressure in Coal-Fired Power Plant Boilers by Fractional-Order Controller with Smith Predictor Structure for Delay Compensation

M Doostinia, MTH Beheshti, M Babaei, SA Alavi, A Ramezani
Journal Papers , , {Pages }

Abstract

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دروس نیمسال قبل

  • كارشناسي ارشد
    سيستم هاي عيب يابي و كنترل تحمل پذير خطا ( واحد)
    دانشکده مهندسی برق و کامپیوتر، گروه كنترل
  • كارشناسي ارشد
    سيستم هاي عيب يابي و كنترل تحمل پذير خطا ( واحد)
  • كارشناسي ارشد
    كنترل پيش بين ( واحد)
  • كارشناسي ارشد
    مباحث ويژه در كنترل (نرم افزارهاي كنترلي) ( واحد)
  • 1400
    رنجبر, محمدعلي
    كنترل مبادله ي انرژي براي ايستگاه هاي شارژ ماشين هاي الكتريكي با استفاده از الگوريتم يادگيري تقويتي.
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