Faezeh Farivar

• Doctor of Education
• Head of Department at Islamic Azad University, Science and Research Branch

The Bat-inspired algorithm (BA), as one of the swarm intelligence algorithms, has a high potential for solving global optimization problems. This algorithm possesses an additional inherent capability compared to other swarm intelligence algorithms, which is the inclusion of a local search mechanism. Although this increases the convergence speed of...

In Industry 5.0, man and machine work alongside each other in production, but smart and autonomous vehicles are examples that show this notion is now being extended to the end consumers. In 2015, a Jeep was remotely hacked through its head unit. This incident drew the public attention to vehicles security and showed how entertainment/infotainment c...

Traffic forecasting is a challenging issue in the transportation field due to its high nonlinearity and complexity. The key to extract valuable information from traffic data is to characterize the spatial and temporal correlations in a proper way, but it is difficult to achieve accurate quantification on these correlations, especially the spatial o...

In pattern recognition and data mining, feature selection is a preprocessing step during which the dimensions of data are reduced by removing redundant, irrelevant, and noisy features for a machine learning task. Identifying the most informative features in a suitable computational time is one of the most important challenges in the existing featur...

High-dimensional microarray data suffer from the confounding effects of irrelevant, redundant and noisy genes on the scalability and efficiency of classification algorithms. In order for an effective dimensionality reduction and the selection of informative genes, this paper introduces a novel approach using fractional calculus concepts. This study...

Teaching–learning-based optimization (TLBO) algorithms is one of the swarm-based optimization search algorithms. It develops based on the teaching–learning procedures at a classroom to solve multi-dimensional and nonlinear problems. In this paper, convergence and stability analysis of TLBO are studied. The stability of individual dynamics is analyz...

Road management systems are to improve in terms of integrity, mobility, sustainability and safety by the adoption artificial intelligence and Internet of Things services. This paper introduces the concept of covert attacks on autonomous vehicles which can jeopardize the safety of passengers. Covert attacks are designed to manipulate the output of a...

With the benefits of Internet of Vehicles (IoV) paradigm, come along unprecedented security challenges. Among many applications of inter-connected systems, vehicular networks and smart cars are examples that are already rolled out. Smart vehicles not only have networks connecting their internal components e.g. via Controller Area Network (CAN) bus,...

Industry 4.0 will make manufacturing processes smarter but this smartness requires more environmental awareness, which in case of Industrial Internet of Things, is realized by the help of sensors. This article is about industrial pharmaceutical systems and more specifically, water purification systems. Purified water which has certain conductivity...

Industry 4.0 will make manufacturing processes smarter but this smartness requires more environmental awareness, which in case of Industrial Internet of Things, is realized by the help of sensors. This article is about industrial pharmaceutical systems and more specifically, water purification systems. Purified water which has certain conductivity...

ith the benefits of Internet of Vehicles (IoV) paradigm, come along unprecedented security challenges. Among many applications of inter-connected systems, vehicular networks and smart cars are examples that are already rolled out. Smart vehicles not only have networks connecting their internal components e.g. via Controller Area Network (CAN) bus,...

Internet of Things is making objects smarter and more autonomous. At the other side, online education is gaining momentum and many universities are now offering online degrees. Content preparation for such programs usually involves recording the classes. In this paper, we intend to introduce a deep learning-based camera management system as a subst...

This paper presents an approach for tolerant control and compensation of cyber attacks on the inputs and outputs of a cyber-physical system of rotary gantry type. The proposed control schemes are designed based on classic–intelligent control strategies for trajectory tracking and vibration control of a networked control system, which are developed...

Studying the structure of the evolutionary communities in complex networks is essential for detecting the relationships between their structures and functions. Recent community detection algorithms often use the single-objective optimization criterion. One such criterion is modularity which has fundamental problems and disadvantages and does not il...

This paper proposes a hybrid intelligent-classic control approach for reconstruction and compensation of cyber attacks launched on inputs of nonlinear cyber-physical systems (CPS) and industrial IoT systems which work through shared communication networks. In this study, a class of n-order nonlin-ear systems is considered as a model of CPS while it...

Constrained learning has numerous applications and advantages, especially in circumstances in which hardware implementation imposes some constraints on us by biological justifications. Making neural network comprehensible, faster convergence and learning general properties are of other advantages of constrained learning. In this article we have tri...

The diagnosis of benign and malignant breast cancer is a challenging issue today. Breast cancer is the most common cancer that women suffer from. The sooner the cancer is detected, the easier and more successful it is to treat it. The most common diagnostic method is the mammography of a simple radiographic picture of the chest. The use of image pr...

Car wing has many capabilities to work on and benefit from. There are different types of wings and spoilers in sport cars that are being used to help having better acceleration, braking, etc. Generally after aerodynamic analysis of wings or rear spoilers, and simulation the second step is to find the best control system to achieve maximum advantage...

Cyber-Physical Systems (CPS) are playing important roles in the critical infrastructure now. A prominent family of CPSs are networked control systems in which the control and feedback signals are carried over computer networks like the Internet. Communication over insecure networks makes the system vulnerable to cyber attacks. In this article, we d...

Active wing has the potential to increase the stability of racing cars by down-force as a result of aerodynamics pressure energy. In this paper a novel way of wing modelling and control is introduced. The proposed model is driven by using the second and the third Newton law and is also theoretically calculated by some simple formulation. Moreover,...

This paper proposes two strategies to design robust adaptive fault tolerant control (FTC) systems for a class of unknown n-order nonlinear systems in presence of actuator and sensor faults versus bounded unknown external disturbances. It is based on machine learning approaches which are continuous reinforcement learning (RL) and neural networks (NN...

In this paper, particle dynamics and stability analysis of gravitational search algorithm (GSA) are investigated. The GSA is a swarm optimization algorithm which is inspired by the Newtonian laws of gravity and motion. Previously, the convergence analysis of the GSA and improved GSA algorithms were presented to demonstrate each particle converges....

This brief proposes modified projective synchronization (MPS) methods for underactuated unknown heavy symmetric chaotic gyroscope systems via optimal Gaussian radial basis adaptive variable structure control. Chaotic gyroscope systems are considered as underactuated systems where a control input is designed to synchronize the two degree of freedoms...

In this paper, fault tolerant synchronization (FTS) for a class of uncertain chaotic systems is investigated. The FTS system is to increase the safety and reliability of synchronization when the slave system is subjected to actuator and sensor faults. In this paper, the faulty slave system is considered with model uncertainty and external disturban...

This paper proposes the modified projective synchronization method for unknown chaotic dissipative gyroscope systems via Gaussian radial basis adaptive variable structure control. Because of the nonlinear terms of the dissipative gyroscope system, the system exhibits chaotic motions. As chaotic signals are usually broadband and noise-like, synchron...

This paper presents a nonlinear control for trajectory tracking and vibration control of a flexible joint manipulator by using chaotic gyroscope synchronization. To study the effectiveness of the controllers, designed controller is developed for tip angular position control of a flexible joint manipulator. Based on Lyapunov stability theory, the no...

This paper proposes the modified projective synchronization for heavy symmetric dissipative gyroscope systems via backstepping control. Because of the nonlinear terms of the gyroscope system, the system exhibits complex and chaotic motions. Using the backstepping control technique, control laws are established which guarantees the hybrid projective...

Despite active research and significant progress in the last three decades on control of human eye movements, it remains challenging issue due to its applications in prosthetic eyes and robotics. Till now, no considerable investigation of this subject is presented in the interdisciplinary sciences. The goal of this paper is to present a distinguish...

This paper proposes the chaos control and the modified projective synchronization methods for unknown heavy symmetric chaotic gyroscope systems via Gaussian radial basis adaptive backstepping control. Because of the nonlinear terms of the gyroscope system, the system exhibits chaotic motions. Occasionally, the extreme sensitivity to initial states...

This paper proposes the chaos control and the generalized projective synchronization methods for heavy symmetric gyroscope systems via Gaussian radial basis adaptive variable structure control. Because of the nonlinear terms of the gyroscope system, the system exhibits chaotic motions. Occasionally, the extreme sensitivity to initial states in a sy...

This paper proposes the generalized projective synchronization for chaotic heavy symmetric gyroscope systems versus external disturbances via sliding rule-based fuzzy control. Because of the nonlinear terms of the gyroscope, the system exhibits complex and chaotic motions. Based on Lyapunov stability theory and fuzzy rules, the nonlinear controller...

This paper presents a feedback linearization and chaotic anti-control for trajectory tracking and vibration control of a flexible joint manipulator. To study the effectiveness of the controllers, designed controller is developed for tip angular position control of a flexible joint manipulator. Based on Lyapunov stability theory for variable structu...

In this study, intelligent control of human eye movements system for the emotional support by a huggable pet type robot via Gaussian RBF neural network based on sliding mode control is presented. Despite active research and significant progress in the last three decades on control of human eye movements, it remains challenging issue due to its appl...

In this paper, fault tolerant synchronization of chaotic gyroscope systems versus external disturbances via Lyapunov rule-based fuzzy control is investigated. Taking the general nature of faults in the slave system into account, a new synchronization scheme, namely, fault tolerant synchronization, is proposed, by which the synchronization can be ac...

In this study, sliding adaptive fuzzy control (SAFC) is proposed to chaos control for a class of time-delayed chaotic systems. An adaptation law based on Gradient Descent (GD) method is utilized to determine the parameters of fuzzy controller. The first derivation of Lyapunov function is considered as the cost function which must be minimized, so t...

In this paper, generalized projective synchronization (GPS) of two time-delayed chaotic systems using sliding adaptive fuzzy control (SAFC) is investigated. The proposed method combines the advantages of the adaptive control, fuzzy systems and sliding mode control theory. Lyapunov stability theory is employed to guarantee the stability of error dyn...

In this study, generalized projective synchronization (GPS) of two identical and nonidentical time-delayed chaotic systems is presented. Sliding adaptive radial basis function neural network control (SARBFNNC) is applied to synchronize two delayed chaotic systems. The advantages of the adaptive control, neural network and sliding mode control theor...

This paper proposes the generalized projective synchronization (GPS) of uncertain chaotic systems with external disturbance via Gaussian radial basis adaptive sliding mode control (GRBASMC). A sliding surface is adopted to ensure the stability of the error dynamics in sliding mode control. In the neural sliding mode controller, a Gaussian radial ba...

.ac.ir Abstract-In this paper, fault tolerant synchronization of chaotic gyroscope systems via Gaussian RBF neural network based on sliding mode control is investigated. Taking a general nature of fault in the slave system into account, a new synchronization scheme, namely, fault-tolerant synchronization, is proposed, by which the synchronization c...

This paper proposes the generalized projective synchronization (GPS) for a class of nonlinear chaotic systems with model uncertainty and external disturbances via variable structure control. As chaotic signals are usually broadband and noise like, synchronized chaotic systems can be used as cipher generators for secure communication. This paper pre...

This paper presents a variable structure control and anti control for trajectory tracking and vibration control of a flexible joint manipulator. To study the effectiveness of the controllers, designed controller is developed for tip angular position control of a flexible joint manipulator. Based on Lyapunov stability theory for variable structure c...

This paper presents a Gaussian radial basis function neural network based on sliding mode control for trajectory tracking and vibration control of a flexible joint manipulator. To study the effectiveness of the controllers, designed controller is developed for tip angular position control of a flexible joint manipulator. The adaptation laws of desi...

This paper proposes the generalized projective synchronization for chaotic systems via Gaussian Radial Basis Adaptive Backstepping Control. In the neural backstepping controller, a Gaussian radial basis function is utilized to on-line estimate the system dynamic function. The adaptation laws of the control system are derived in the sense of Lyapuno...

This paper proposes a hybrid control scheme for the synchronization of two chaotic nonlinear gyros, subject to uncertainties and external disturbances. In this scheme, linear quadratic regulation (LQR) control, sliding mode (SM) control and Gaussian radial basis function neural network (GRBFNN) control are combined. By Lyapunov stability theory, SM...

Background: Lack of nutritional knowledge is one of the most important reasons of nutritional problems and consequently improper practice, which can lead to several complications. This study has been designed in order to compare knowledge, attitude and practices of the urban and rural households regarding iron deficiency anemia (IDA) in Boushehr, G...

This study describes hybrid control methods to control a flexible manipulator with payload. The dynamic equation of the system has been derived by Lagrange`s method. The designed controllers consist of two parts, classical controllers, PID and Linear Quadratic Regulation (LQR) and hybrid controllers, Fuzzy Neural Network (FNN) controller with Feedb...

This paper, describes a hybrid control method to control a flexible joint. Dynamic equation of the system has been derived. The designed controllers consist of two parts: classical controller, which is a Linear Quadratic Regulation (LQR), and a hybrid controller,utilizing sliding mode control using Gaussian Radial Basis Function Neural Networks (RB...

Background: Lack of nutritional knowledge is one of the most important reasons of nutritional problems and consequently improper practice, which can lead to several complications. This study has been designed in order to compare knowledge, attitude and practices of the urban and rural households regarding iron deficiency anemia (IDA) in Boushehr, G...