Ali Akbar Safavi

Shiraz University · Department of Power and Control Engineering

UNITEL Webinar: Technology Enhanced Learning for STEM Students: The Case Study of UNITEL Project and How You Can Collaborate. (9 January 2023) Hosted by: Shiraz University

One of the most important issues related to natural gas is unaccounted for gas. Residential customers constitute a significant percentage of unaccounted for gas. To estimate the amount of unaccounted for gas, it is necessary to compare the amount of consumption estimated by the model with the one recorded by the meter. Thus, the value estimated by...

The second e-newsletter of "UNITEL project": OVERVIEW: • Editorial • UNITEL collaboration with YADA, ICeLeT 2022, and ICeLeT 2023 • Under the Spotlight • E-course is ready • Successful face-to-face meeting in Rome • UNITEL project is now available on social media • Looking into the Future WEBSITE: https://unitelproject.net/ We are pleased to provi...

Digital twin is a valuable tool for the active training of engineers at both academic and professional levels. This is even more important if learners can experience any safe or unsafe scenarios on the safe environment of an accurate simulator combined with the systematic collaborative applications. This paper introduces a learning platform that is...

Given the importance of digital communication during the COVID-19 pandemic, the need for advancing academic goals through online social capital is more tangibly felt. This study examined the hypothesis that online social capital can improve the students’ academic performance, as one of the main academic goals, through the mediation of knowledge sha...

This article examines a decentralized event-triggered robust model predictive control (MPC) for a class of networked large-scale non-linear Lipchitz systems. It is assumed that the subsystems are geographically distributed and the connections can be made over a communication network and therefore local event generator modules are used. An event-tri...

The first e-NEWSLETTER of UNITEL Project: OVERVIEW:  Editorial  Under the Spottlight  The WP1 Report  Iranian e-learning experiences in Covid-19  Looking into the Future. The current e-newsletter is related to the "UNITEL project" which aims at Modernization and Internationalization of Iranian HEIs via collaborative TEL-based curriculum devel...

Multivariable process monitoring (MPM) algorithms are very popular for early detection of abnormalities and diagnosis of process conditions to ensure plant safety, reliability, and production quality during operation. Hazard and operability (HAZOP) study is a systematic brainstorming session to identify the credible causes and consequences of the p...

Residential natural gas consumption depends on several factors. Available tools and methods to identify, categorize, and validate effective factors have some limitations, making consumption modeling more complex. Once a comprehensive model of effective consumption factors is developed for residential gas consumers, it can predict consumption. In ad...

In this article, an efficient method for finite-time secure dynamic state estimation in cyber-physical systems (CPSs) subjected to unknown inputs and cyber-attacks is proposed. The proposed approach is based on a set of local finite-time state estimators operating over the subsets of sensory nodes, which are designed to estimate the states of the C...

Dynamic model development and control of an existing operating industrial continuous bulk free radical styrene polymerization process are carried out to evaluate the performance of auto-refrigerated CSTRs (continuous stirred tank reactors). One of the most difficult tasks in polymerization processes is to control the high viscosity reactor contents...

This paper proposes security techniques for detecting and counteracting attacks in Networked Control Systems (NCSs). A partially homomorphic based encryption technique, namely the Paillier scheme, is used to protect the confidentiality of the transmitted data over the network against eavesdropping attacks. An integrated secure and private observer-...

Major accidents hazards not only may lead to losses of life and properties, but also may cause irrecoverable damages to the environment. HAZard and OPerability (HAZOP) study is one of the most widely used and accepted techniques to assess the risk of process upset and search for the required safeguards. However, the method is a qualitative approach...

Dimension of the encoder output (i.e., the code layer) in an autoencoder is a key hyper-parameter for representing the input data in a proper space. This dimension must be carefully selected in order to guarantee the desired reconstruction accuracy. Although overcomplete representation can address this dimension issue, the computational complexity...

In this paper, we present a secure distributed estimation strategy in networked systems. In particular, we consider distributed Kalman filtering as the estimation method and Paillier encryption, which is a partially homomorphic encryption scheme. The proposed strategy protects the confidentiality of the transmitted data within a network. Moreover,...

Complex, dynamical systems, often of a high order, composed of several interconnected subsystems are referred to as the large-scale systems (LSSs). This article presents a survey of the most common LSS architectures. The article then proceeds to discuss conventional control schemes, including decentralized, distributed, and hierarchical structures...

In this study, a novel co-estimation approach is proposed for dynamic state estimation of cyber-physical systems (CPSs) subjected to sensor attacks. In the proposed approach, the sensory measurements are preprocessed to extract some valuable information about the launched cyber-attack. This information is then manipulated to form new state equation...

In this paper, the problem of event-triggered robust model predictive control (MPC) was examined for a class of Lipchitz nonlinear networked control systems (NCS) with network-induced delays and subject to external disturbances. An event-triggering scheme for a continuous-time NCS was pro- posed, which reduced the communication traffic and computat...

In this article, we develop a novel method to design a controller for nonlinear systems represented by Takagi‐Sugeno (T‐S) fuzzy model in the presence of unknown dynamics, uncertainties in parameters of nonlinear system and external disturbances. The control law is constituted two segments. The first segment derives from parallel distributed compen...

*is paper introduces two traffic light strategies to control traffic and avoid traffic jam in urban networks. One strategy is a new traffic light scheduling system, which controls traffic light using local variables (waiting time and number of vehicle on links) but has a global impact on the traffic, using shared variables between neighbour interse...

This paper proposes an encrypted observer-based control paradigm for enhancement of cybersecurity in networked control systems. The proposed paradigm exploits a semi-homomorphic encryption technique which enables the required computation to be done over encrypted data without any need for decryption at controller and observer levels. This improves...

Conventional HAZOP is a collaborative and multidisciplinary activity to identify the hazards associated to operability of the chemical processes. Then the consequences and required safeguards of each potential deviation or failure are assessed qualitatively one by one. It is performed with the assumption of "one failure at the time" for the process...

This paper proposes a novel data-based leakage diagnosis method for big datasets, which identifies the leak occurrence, its size, and its location. Different statistical features are used to express the changes in flow and pressure signals at different leakage scenarios. To improve the performances of the leakage diagnosis approach, factor analysis...

Modern traffic control and management systems in urban networks require real-time estimation of the traffic states. In this paper, a novel approach for modeling traffic flow in urban networks that is especially suitable for state estimation is proposed. The complexity of the urban traffic model is reduced by assuming availability of connected vehic...

Kalman filtering has been widely considered for dynamic state estimation in smart grids. Despite its unique merits, the Kalman Filter (KF)-based dynamic state estimation can be undesirably influenced by cyber adversarial attacks that can potentially be launched against the communication links in the Cyber-Physical System (CPS). To enhance the secur...

Dynamic state estimation plays a critical role in achieving real-time wide-area monitoring of power systems. On the other hand, false data injection (FDI) attacks are substantial threats, which can undesirably ruin the state estimation results. To tackle the foregoing problem, an effective Secure Hybrid Dynamic State Estimation (SHDSE) approach whi...

Current traffic management systems in urban networks require real-time estimation of the traffic states. With the development of in-vehicle and communication technologies, connected vehicle data has emerged as a new data source for traffic measurement and estimation. In this work, a machine learning-based methodology for signal phase and timing inf...

This paper presents an inverse method for material properties identification of a piezoelectric beam (piezoelectric charge and relative dielectric coefficients) using a wavelet-based neural network as an inverse tool. The identification analysis is carried out by using two approaches. In the first approach, i.e. sensor mode analysis, the input data...

An occurrence of potential faults/hazardous situations could jeopardize the safety and reliability of complex dynamical systems. A new Fault Tolerant Control (FTC) methodology capable of preventing floods in the land areas close to the Rhine-Meuse Delta water system is proposed in this paper. The Delta water network is a Large-Scale System (LSS) wi...

Advanced traffic control and management strategies rely either on the real-time measurements or on the estimates of the macroscopic traffic variables. While for many years loop detectors have been the widespread sensing tools, capable of measuring flow and occupancy, connected vehicle data has emerged as a new data source for traffic measuring and...

A large number of advanced multivariate techniques have been yet proposed to improve the performance of process monitoring. These advanced monitoring methods are usually implemented on separate hardware/software, which interconnect with Distributed Control System (DCS) using extra communication links. In this paper, the advanced monitoring algorith...

Photovoltaic (PV) as a renewable source of energy plays a significant role in generating electricities in the industry and distributed consumers. The output power of the PV device is highly nonlinear which is dependent on I-P and V-P characteristics of the device and also irradiation conditions. Therefore, many research works have been performed to...

This paper proposes a new fuzzy model predictive control approach for continuous-time nonlinear systems in terms of linear matrix inequalities (LMIs). The proposed approach is based on the Takagi–Sugeno fuzzy modeling, a quadratic Lyapunov function, and a sampled-data parallel distributed compensation controller with constant sampling time. The goa...

In this paper, we study the security aspects of the new 5G-IoT architecture, which is recently developed by this research team. We classify potential security attacks at each layer of the 5G-IoT architecture. As the main contribution of this work, we propose a security taxonomy for the 5G-IoT architecture in the context of smart city applications....

Hepatitis C is a kind of an infectious disease that mainly has an impact on the liver and also disrupts its activities. As an approximation, 130∼170 millions of people around the world have been suffering from hepatitis C virus. Until now, a combination of interferon-alpha (IFN-Alpha) and ribavirin (RBV) is employed as a therapy to those who infect...

Abstract - This paper reports the latest results of our study on developing a new approach to secure tele-surgery systems as human-in-the-loop systems, using deep learning. In this approach, surgical behavior of expert surgeons are modeled and used to discriminate between valid commands generated by a remote surgeon and commands generated by a pote...

In this paper, we present a distributed model predictive control strategy for discrete-time interconnected linear systems. The overall system is composed of a number of discrete-time interconnected linear subsystems. The MPC controllers of subsystems communicate their information to handle the interconnection effects. It is known that distributed M...

This paper is concerned with challenges involved with implementation of a private observer in networked control systems. Here, a secure Luenberger observer over a network is considered. The Paillier encryption, which is a semi-homomorphic encryption method, is employed so that the algebraic calculations required for the estimation can be performed...

The Internet of Things (IoT) is a crucial component of Industry 4.0. Due to growing demands of customers, the current IoT architecture will not be reliable and responsive for next generation IoT applications and upcoming services. In this paper, the next generation IoT architecture based on new technologies is proposed in which the requirements of...

Real-time estimation of the traffic state in urban signalized links is valuable information for modern traffic control and management. In recent years, with the development of in-vehicle and communication technologies, connected vehicle data has been increasingly used in literature and practice. In this work, a novel data fusion approach is propose...

In this paper we present a distributed model predictive control strategy for discrete-time interconnected linear systems. The overall system is composed of a number of discrete-time interconnected linear subsystems. The MPC controllers of subsystems communicate their information to handle the interconnection effects. It is known that distributed MP...

The increasing use of non-linear loads such as power electronics, converters, arc furnaces, transformers, fluorescent and high intensity discharge lights have caused harmonics distortion in power quality (PQ) systems. On the other hand, harmonics have numerous effects on electrical systems. For examples, they can be troublesome to communication sys...

http://ieeexplore.ieee.org/document/8003946/

In Large Scale Systems the concept of centrality fails due to the lack of centralized computing capability. The control of such systems has to be performed using multiple control agents. In this case, the matter of interactions among neighboring subsystems needs to be considered. In this paper, a water control system in the Netherlands is studied a...

High order, often distributed, dynamical systems composed of several interconnected subsystems are often referred to as Large Scale System (LSS). LSS are often hard to control with a single centralized controller due to the complexity imposed by the system's dimensionality and distributedness. As a result, decentralized or hierarchical control sche...

In order to extract impulsive features and perform noise reduction in the vibration signals of defective bearings, morphological gradient wavelet (MGW) scheme is proposed. This approach is based on a combination of gradient operator and morphological wavelet theory. In order to validate the effectiveness of the proposed scheme, computer experiments...

In this paper, a fault detection and estimation scheme for a class of interconnected non-linear systems with time-varying delays and sensor, actuator and component faults is presented. In no fault condition, a set of $H_{\infty}$ observers are used to detect the faults. With the aid of $H_{\infty}$ performance index, the common assumption regarding...

Purpose The purpose of this paper is to concern the design of a robust model predictive controller for distributed networked systems with transmission delays. Design/methodology/approach The overall system is composed of a number of interconnected nonlinear subsystems with time-varying transmission delays. A distributed networked system with trans...

This paper investigates a distributed model predictive control strategy for discrete-time interconnected linear systems. The MPC controllers of subsystems communicate their information to handle the interconnection effects. It is known that distributed MPC relies on communication networks to transmit and share information among subsystems. Communic...

Fault detection and diagnosis (FDD) of power systems have become important issues due to the high power quality (PQ) demands for modern systems. For this purpose, wavelet transform is invoked to extract features of different transient disturbances. Then, an artificial neural network (ANN) as a powerful intelligent method is employed to automaticall...

(( http://ieeexplore.ieee.org/document/7585825/ ))

(( https://www.deepdyve.com/lp/institute-of-electrical-and-electronics-engineers/an-online-approach-for-fault-detection-and-diagnosis-of-gas-pressure-7yG8kT1vnd )) . . . (( http://ieeexplore.ieee.org/document/7585678/ ))

(( http://ieeexplore.ieee.org/document/7585717/ ))

(( http://ieeexplore.ieee.org/document/7585540/ ))

This paper focuses on the problem of fault estimation for a class of interconnected nonlinear systems with time varying delays. In contrast to the common assumption imposed on the problem in most literature, here, there is no need for the delay rate to be less than one. Both actuator and component faults are considered within the general fault mode...

Background: Considering the rising incidence of thyroid cancer worldwide, the aim of our study was to investigate the temporal trends in the incidence of this cancer in a large population of Iranian patients. Materials and Methods: We used the Iran Cancer Data System (ICDS) Registry to assess the thyroid cancer trend from 2004 to 2010 with regard t...

This paper addresses design and implementation of an Industrial Generalized Predictive Controller with the aid of artificial neural networks (ANNs) for multivariable processes via industrial Programmable Logic Controllers (PLCs). Nowadays, Although PLCs are the widely accepted computer-based industrial controllers due to their remarkable advantages...

Abstract: This paper addresses design and implementation of an Industrial Generalized Predictive Controller with the aid of artificial neural networks (ANNs) for multivariable processes via industrial Programmable Logic Controllers (PLCs). Nowadays, Although PLCs are the widely accepted computer-based industrial controllers due to their remarkable...

Considering the extensive applications and also importance of simulators with flexible abilities such as link speed, reliable topology and accessible for all necessary data and tests, this paper addresses a method which have these advantages including a structure which can be updated for several behaviors of processes. Here we present an advanced p...

In Persian with English Abstract-ISC . . . (( http://www.magiran.com/view.asp?Type=pdf&ID=1121892 ))

This paper presents a neural network (NN) based nonlinear dynamic modelling approach for a Twin Rotor MIMO System (TRMS), in terms of its 2 degree of freedom (DOF) dynamics. The TRMS is a highly nonlinear system with significant cross-coupling between its horizontal and vertical axes. It is perceived as an aerodynamic test rig representing the cont...

(( http://ieeexplore.ieee.org/document/7244583/ )) . . . (( http://www.getpaper.ir/real-time-design-and-implementation-of-industrial-generelized-predictive-control-on-two-semi-industrial-processes.htm ))

(( http://www.magiran.com/view.asp?Type=pdf&ID=1452640&l=en )) . . . (( http://citeweb.info/20122936767 ))

(( http://ijste.shirazu.ac.ir/article_3064.html ))