Saleh Mobayen

Saleh Mobayen

PhD

About

272
Publications
39,701
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
5,478
Citations
Citations since 2017
219 Research Items
4960 Citations
201720182019202020212022202302004006008001,0001,2001,400
201720182019202020212022202302004006008001,0001,2001,400
201720182019202020212022202302004006008001,0001,2001,400
201720182019202020212022202302004006008001,0001,2001,400
Introduction
Saleh Mobayen is as an Associate Professor and faculty member with the Department of Electrical Engineering of University of Zanjan, Zanjan, Iran. He has published several papers in the national and international Journals. He is a member of IEEE and serves as a member of program committee of several international conferences. His research interests include control theory, sliding mode control, robust tracking, non-holonomic robots and chaotic systems.
Additional affiliations
September 2013 - present
University of Zanjan
Position
  • Research Assistant
October 2009 - November 2011
Tarbiat Modares University
Position
  • PhD Student
October 2007 - September 2009
University of Tabriz
Position
  • Master's Student

Publications

Publications (272)
Article
Full-text available
In this work, we studied the complex behaviors of the fractional‑order financial chaotic system, consisting of a simple, relatively chaotic system with two quadratic nonlinearities (QN) and a sextic nonlinearity (SN). We completed and enriched the results presented in the study of Subartini et al. (2021). As a result of this, our study focused more...
Article
Full-text available
For many academics, it has proven difficult to operate a wind energy conversion system (WECS) under changeable wind speed while also enhancing the quality of the electricity delivered to the grid. In order to increase the effectiveness and performance of the DFIG-based Wind Energy Conversion System, this research suggests an updated model predictiv...
Article
Full-text available
This research manuscript proposes an Improved Manta Ray Foraging Optimization (IMRFO) algorithm for the power system congestion cost problem. The goal of the proposed Congestion Management (CM) strategy is twofold: firstly, the Generator Sensitivity Factors (GSF) is determined to select and involve the most influential power system generators that...
Article
Full-text available
The remarkable features of hybrid SMC assisted with fuzzy systems supplying parameters of the controller have led to significant success of these control approaches, especially in the control of multi-input and multi-output nonlinear systems. The development of type-1 fuzzy systems to type-2 fuzzy systems has improved the performance of fuzzy syste...
Chapter
PID controllers are commonly used to control industrial systems thanks to their simplicity and efficiency. These controllers are proportional–integral–derivative, each of which has its gains. If these gains are properly selected, they can obtain the proper solution from the system under control; however, if they are not properly selected, they lead...
Chapter
In the previous chapters, only the first-order derivative was employed to obtain the rule for regulating neural network parameters. In other words, only the first-order derivative was used to approximate the cost function through Taylor series, whereas higher-order derivatives were overlooked.
Chapter
The simplest type of neuron modeling is the perceptron. Since it is difficult to analyze several perceptron types in different layers, we will begin examining one perceptron.
Chapter
Eberhart and Kennedy first proposed this algorithm in 1995 as an indefinite technique for function optimization.
Chapter
Consider the following. The extended Kalman filter is inefficient when the state transition and observations models, i.e., the predict and update functions f and h, are highly nonlinear [1]. This is due to an increase in covariance during the linearization of the nonlinear model. To collect a minimal sample set of points around the mean, the Unscen...
Chapter
To train neural networks through the RLS method, the derivatives of the neural network outputs compared to the adjustable parameters should be obtained in a manner similar to the gradient descent. The following cost function should be minimized in order to regulate the output weights and the middle layer of an MLP neural network based on RLS.
Chapter
The genetic algorithm (GA) is a computer science search technique for estimating solutions and solving problems. A genetic algorithm is a subset of an evolution algorithm that employs biological techniques such as inheritance and mutation.
Article
This paper proposes an adaptive fast-reaching nonsingular terminal sliding mode control approach for the position and attitude tracking control of a quadrotor UAV subject to model uncertainty and external disturbances. To this end, a fast-reaching nonsingular terminal sliding surface is defined with the aim of fast convergence of the tracking error...
Article
Full-text available
In this research article, a simple four-dimensional (4D) chaotic dynamic system with uncomplicated structure and only one nonlinear term is introduced. The features of the proposed design have been conducted with some standard nonlinear dynamic analysis and mathematical tools which show the chaotic nature. One of the most important indicators for d...
Article
Full-text available
In this study, the desired tracking control of the upper-limb exoskeleton robot system under model uncertainty and external disturbance is investigated. For this reason, an adaptive neural network using a backstepping control strategy is designed. The difference between the actual values of the upper-limb exoskeleton robot system and the desired va...
Article
Full-text available
The main focus of this research is on improving the performance of dynamic systems with actuator non‐linearities and time‐varying disturbances. To this end, using the concept of finite‐time stability, a novel observer is presented to estimate the disturbances in systems with input non‐linearities. Then, introducing an innovative sliding manifold, a...
Article
Full-text available
A new predictive frequency management system is designed for multi-area microgrids (MGs). The uncertainties are online modeled by a deep learned type-2 (T2) fuzzy-logic system (FLS) and singular-value decomposition (SVD) approach. The predictive controller is designed based on the SVD-T2FLS model. The robustness against perturbations is ensured by...
Article
Full-text available
Congestion management is one of the most critical issues in the operation of deregulated power systems. This research work proposes a Congestion Management (CM) approach considering the optimal real power rescheduling of power system generators. The Generator Sensitivity Factors (GSF) have been considered to select the most sensitive generators tha...
Article
Full-text available
In this research, based on the integral sliding-mode scheme, a robust composite nonlinear feedback (CNF) control is addressed for time-delayed uncertain systems. Such an uncertain system may contain some complexities like time-varying delays, actuators saturation, and exterior disturbances. Hence, the tracking problem would be solved under the ment...
Article
Full-text available
User Equipment (UE) is equipped with limited cache resources that can be utilized to offload data traffic through device-to-device (D2D) communications. Data caching at a UE level has the potential to significantly alleviate data traffic burden from the backhaul link. Moreover, in wireless networks, users exhibit mobility that poses serious challen...
Article
Full-text available
The proportional integral derivative (PID) controller has gained wide acceptance and use as the most useful control approach in the industry. However, the PID controller lacks robustness to uncertainties and stability under disturbances. To address this problem, this paper proposes an optimal fuzzy-PID technique for a two-degree-of-freedom cart-pol...
Article
Full-text available
In this paper, an adaptive neural network approach is developed based on the integral nonsingular terminal sliding mode control method, with the aim of fixed-time position tracking control of a wheelchair upper-limb exoskeleton robot system under external disturbance. The dynamical equation of the upper-limb exoskeleton robot system is obtained usi...
Article
Full-text available
Cable robots are a type of parallel robot in which cables have replaced the usual rigid arms. In cable robots, due to the tensile strength of the cable, the workspace analysis is much more complex than in conventional robots. In this paper, we design an adaptive fuzzy controller for a cable-driven parallel robot (CDPR). In the proposed controller,...
Article
Full-text available
In this paper, we propose a nonlinear state feedback controller based on linear matrix inequality (LMI) for a class of nonlinear systems with parametric uncertainties and external disturbances. The primary goals of the proposed controller are to guarantee system stability and performance in the presence of system uncertainties and time-dependent di...
Article
Full-text available
The sliding-mode control (SMC) has been used successfully to stabilize nonlinear systems, yet a side effect of SMC is chattering, an undesired phenomenon. Researchers have then introduced the so-called integral-type approach to diminish chattering. Additional studies have shown that SMC with the so-called barrier function can drive the system state...
Conference Paper
Full-text available
This paper addresses the problems of a composite nonlinear control for the permanent magnet synchronous motors (PMSMs) speed regulation systems, which is primarily consti�tuted by an extended state observer (ESO)-based feedforward compensation and nonlinear proportional feedback (NPF) control law. Firstly, an optimal control synthesis function-base...
Article
Full-text available
The permanent magnet synchronous motors (PMSMs) as the completely symmetrical three-phase machines, which are usually driven by symmetrical voltage signals. Unfortunately, a PMSM system usually suffers from the different lumped disturbances, such as internal parametric perturbations and external load torques, the speed regulation problem should be...
Article
Fault location (FL) is one of the challenges in distribution networks. Many impedance-based methods have been developed to address this challenge. However, these impedance-based methods are not yet able to provide a unique answer, and they only can approximate the distance of the fault from the reference point, which creates challenges in systems t...
Article
Full-text available
In this article, the position tracking control of the wheelchair upper-limb exoskeleton robotic system is investigated with the aim of rehabilitation of disabled people. Hence, the fuzzy nonsingular terminal sliding mode control method by using the state observer with a fixed-time convergence rate is designed in three main parts. In the first part,...
Article
Full-text available
The design of swing and stance control for path following of a prosthetic leg robot subject to uncertain dynamics and exterior disturbances is a serious issue, which affects the development of wearable robots. In wearable robots, parametric uncertainties and external disturbances are unavoidable problems. This problem is associated with practical e...
Article
Full-text available
This study presents a novel adaptive non-singular Terminal Sliding Mode (TSM) control procedure for the speedy and finite time stabilization of nonlinear Cyber-Physical Systems (CPSs). By employing the proposed non-linear sliding surface, the reaching phase is eliminated and the entire system’s robust performance is ameliorated. The presented onlin...
Article
Full-text available
This essay discusses the finite-time stabilization of Tension Leg Platforms (TLP), one of the most considerable offshore floating wind turbine systems. The most critical issue in installing such turbines is controlling and balancing them on the water. In order to stabilize the TLP systems in floating offshore wind turbines, an adaptive terminal sli...
Article
Full-text available
In this paper, the Unified Interphase Power Controller (UIPC) is utilized to protect the synchronous generator in case of faults occurring in the transmission system. The UIPC not only maintains the generator’s stability by keeping its load angle within safe operational limits but also prevents high-amplitude currents from flowing through the stato...
Article
Full-text available
This paper proposes an adaptive barrier fast terminal sliding mode control (ABFTSMC) approach for quadrotor unmanned aerial vehicles (UAV). Its main objectives are to mitigate the external disturbances, parametric uncertainties, and actuator faults. An adaptive barrier function is considered in the design to ensure the finite-time convergence of th...
Article
Full-text available
This paper proposes an adaptive barrier function terminal sliding mode control method for partial seizure based on the Pinsky–Rinzel model. A terminal sliding mode control technique is designed to achieve the convergence of trajectories to the desired value in a finite time, while an adaptive barrier function is used to ensure that the outputs, whi...
Article
Full-text available
This paper addresses the problems of an improved extended state observer (ESO)-based composite nonlinear control for the permanent magnet synchronous motor (PMSM) speed regulation systems, which is primarily constituted by a linear ESO-based feedforward compensation and nonlinear proportional feedback (NPF) control law. Firstly, by taking the param...
Article
Full-text available
In this article, an adaptive non-singular terminal sliding mode controller (NTSMC) is designed based on a barrier function for the robust stability of a category of non-linear dynamic systems in the existence of the external disturbances. The planned approach implements a non-singular terminal sliding mode controller (NTSMC) to ensure robust perfor...
Article
Full-text available
Fossil fuels play a significant role in the automobile industry, as well as marine vessel systems, with a lot of benefits like high‐density and low‐cost power supply, which is relatively easy to reserve, apply and carry. However, fossil fuel combustion produces several emissions such as CO2, which become greenhouse gas emissions and harmful to huma...
Article
Full-text available
This paper proposes a linear matrix inequality (LMI)-based adaptive barrier global sliding mode control (ABGSMC) for uncertain systems with faulty actuators. The proposed approach is derived using a novel global nonlinear sliding surface to guarantee the global dynamic property and to ensure system stability and the occurrence of sliding in the pre...
Article
Full-text available
In this paper, a new approach is presented for stabilizing and synchronizing financial chaotic systems. A new type-3 (T3) fuzzy-based system (FLS) with an online optimization scheme is designed to cope with chaotic behavior, high-level uncertainties, and unknown dynamics. An adaptive compensator also eliminates the effect of approximation errors (A...
Article
Full-text available
Given the various advantages of electric vehicles compared to conventional gasoline vehicles in terms of energy efficiency and environmental pollution (among others), this paper studies the factors affecting customers’ willingness to purchase electric vehicles. An integrated discrete choice and agent-based approach is applied to model the customers...
Article
Full-text available
The remarkable properties of sliding mode control (SMC)—such as robustness, accuracy, and ease of implementation—have contributed to its wide adoption by the control community. To accurately compensate for parametric uncertainties, the switching part of the SMC controller should have gains that are sufficiently large to deal with uncertainties, but...
Article
Full-text available
In this investigation, we have studied and designed a type-2 fuzzy logic controller (IT2FLC) for the wastewater treatment plant at Haldia, India. To avoid modeling complex physical, chemical, and biological treatment processes of wastewater, this present work represents an ensemble of fuzzy models as surrogates for the wastewater treatment plant (W...
Article
In this study, an adaptive barrier procedure is combined with nonsingular sliding mode control (SMC) technique at the aim of the fast stabilization of nonlinear system with external disturbances. It is verified that the barred function-based control law leads to the fast convergence of state errors to a region near origin. Furthermore, the suggeste...
Article
Full-text available
This study proposes an adaptive barrier functions-based non-singular terminal sliding mode control approach for the trajectory tracking of a quadrotor unmanned aerial vehicle subject to bounded uncertainties and input constraints. First, the state-space equations of the six degrees-of-freedom quadrotor system is introduced in the presence of bounde...
Article
Full-text available
In this study, a novel control framework is proposed to improve the tracking performance of uncertain marine vessels which work in enhanced sea states. The proposed control strategy is based on incorporating a fixed-time nonlinear disturbance observer (FTNDO) in a fixed-time convergent backstepping control. More specifically, the FTNDO is developed...
Article
Full-text available
The paper investigates a leader-following scheme for nonlinear multi-agent systems (MASs). The network of agents involves time-delay, unknown leader's states, external perturbations, and switching graph topologies. Two distributed protocols including a consensus protocol and an observer are utilized to reconstruct the unavailable states of the lead...
Article
Full-text available
In this study, we present a new approach for load forecasting (LF) using a recurrent fuzzy neural network (RFNN) for Kermanshah City. Imagine if there is a need for electricity in a region in the coming years, we will have to build a power plant or reinforce transmission lines, so this will be resolved if accurate forecasts are made at the right ti...
Article
This study proposes an adaptive nonsingular integral dynamic terminal sliding mode tracker/synchronizer for disturbed nonlinear systems along with its usage in safe communication systems. The convergence of the closed-loop structure under unknown uncertainty and disturbances is guaranteed via Lyapunov analysis. Furthermore, a parameter-tuning metho...
Article
Full-text available
Melanoma is a type of skin cancer that is caused by the uncontrolled growth of melanocytes. Cancer begins when cells in the body begin to grow out of control. Cells in almost every part of the body can become cancerous and then spread to other parts of the body. Melanoma is much less common than other types of skin cancer, such as basal cell carcin...
Article
Full-text available
This paper proposes a linear matrix inequality (LMI)-based fuzzy fast terminal sliding mode control (FFTSM) approach for a multi-input multi-output (MIMO) system. This design aims to achieve the finite-time convergence of system trajectories to their desired values, while at the same time eliminating the chattering problem. Finite-time stability is...
Article
Full-text available
In this paper, a disturbance observer based on the non-singular terminal sliding mode control method was presented for the quadrotor in the presence of wind perturbation. First, the position and attitude dynamical equation of the quadrotor was introduced in the existence of windy perturbation. It was difficult to exactly determine the upper bound o...
Article
In this research, a combined cooling, heating, and power (CCHP) system have been utilized based on Proton‐Exchange Membrane Fuel Cell (PEMFC) using natural gas. To develop the complete hybrid system model, the internal fuel converter equations, electrochemical relations, heating, and cooling are solved simultaneously. The suggested technique presen...
Article
Full-text available
In this study, a novel barrier function-based adaptive non-singular terminal sliding mode control methodology is suggested for robust stability of disturbed nonlinear systems. It is proved that the barrier function-based control method can force the state trajectories to converge to a region near origin in the finite time. A sufficient criterion is...
Article
Full-text available
In this study, an adaptive nonsingular terminal sliding mode control technique according to the barrier function is designed for the performance improvement and robust stability of nonlinear systems with outdoor disturbances. For this reason, a novel nonlinear sliding surface is presented based on the states of the system. The nonlinear sliding sur...
Article
Full-text available
This article investigates the prescribed performance control problem associated with attitude stabilization of a rigid body, considering angular velocity constraint, actuator faults, and input saturation. The desired performance specifications in transient and steady-state phases including convergence speed, overshoot, and steady-state value for at...
Article
Full-text available
In this study, an intelligent control scheme is developed for induction motors (IMs). The dynamics of IMs are unknown and are perturbed by the variation of rotor resistance and load changes. The control system has two stages. In the identification stage, the group method of data-handling (GMDH) neural network (NN) was designed for online modeling o...
Article
Full-text available
In this paper, a sliding mode control (SMC) using a novel dynamic sliding surface is proposed for multi-input multi-output (MIMO) nonlinear systems. The proposed control design provides a robust approach with additional degrees of freedom to satisfy the control input constraint. By decomposing the original system into subsystems, the coupling dynam...
Article
Full-text available
This paper presents a novel fuzzy control scheme for damping the subsynchronous resonance (SSR) according to the wide-area measurement system (WAMS) in power systems including doubly fed induction generator (DFIG)-based wind farms connected to series capacitive compensated transmission networks. The SSR damping is attained by adding the fuzzy contr...
Article
Full-text available
In this paper, the finite-time stabilization of the disturbed and uncertain rotary-inverted-pendulum system is studied based on the adaptive backstepping sliding mode control procedure. For this purpose, first of all, the dynamical equation of the rotary-inverted-pendulum system is obtained in the state-space form in the existence of external distu...
Article
Full-text available
This paper proposes a type-2 fuzzy controller for floating tension-leg platforms in wind turbines. Its main objective is to stabilize and control offshore floating wind turbines exposed to oscillating motions. The proposed approach assumes that the dynamics of all units are completely unknown. The latter are approximated using the proposed Sugeno-b...