Mohammad Bagher Menhaj

Mohammad Bagher Menhaj
Amir Kabir Petrochemical Company · Department of Electrical Engineering

About

515
Publications
51,954
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10,899
Citations
Citations since 2016
165 Research Items
5144 Citations
20162017201820192020202120220200400600800
20162017201820192020202120220200400600800
20162017201820192020202120220200400600800
20162017201820192020202120220200400600800

Publications

Publications (515)
Article
In this paper, the indirect adaptive control of a special class of hybrid systems is proposed. The proposed control scheme is based on g-normal fuzzy relational hybrid models (g-Normal FRHMs) in which the model of both plant and controller are proposed to be modeled by FRHM structure. There is an assumption on control action to be of continuous-val...
Article
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This paper proposes a model-free solution for solving the optimal regulation problem for a discrete-time linear time-invariant system that unlike previous methods, presents a guaranteed convergence rate of the state variables as is needed in a group of problems. Initially, the Linear Quadratic Regulation problem (LQR) with a guaranteed convergence...
Article
This paper provides an input-observer event-based controller to solve consensus problems in multi-agent systems with general linear dynamics over fixed directed and undirected network topologies. A Lyapunov-based event condition is proposed to achieve consensus using neighbors’ output information. The proposed method is distributed in the sense tha...
Article
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The open-loop drive of the MEMS tunable capacitor does not guarantee accurate output voltage in an AC voltage reference source (VRS). For a precise regulation, the capacitor movable plate should track the pull-in point trajectory harmlessly and should be kept at a certain distance from the fixed plate. Achievement of this objective is a highly chal...
Article
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Human activity recognition (HAR) has been of interest in recent years due to the growing demands in many areas. Applications of HAR include healthcare systems to monitor activities of daily living (ADL) (primarily due to the rapidly growing population of the elderly), security environments for automatic recognition of abnormal activities to notify...
Article
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This paper aims to design an improved adaptive nonsingular fast terminal sliding mode controller for a fully actuated planar biped robot with five degrees of freedom in the single support (SSP) and double support (DSP) phases in the presence of external perturbation and uncertainties. A new sliding surface was proposed to avoid singularities and th...
Conference Paper
Microgrids have become one of the most challenging areas of power systems in recent years. Microgrid control methods often require a complete model of the system. In this paper, state-space model of DGs, network, and loads as components of microgrids is studied. Nominal set points of the output voltage are used as input for the secondary voltage co...
Conference Paper
Today, decoding electroencephalography (EEG) data is an important and efficient achievement in neuroscience and Brain-Computer Interface (BCI) systems. So that improving the performance of BCI systems can be effective in helping spinal cord injury (SCI) patients to perform daily tasks and rehabilitation work. In contrast, some of the challenges tha...
Article
In recent years, the use of Brain Computer Interface (BCI) systems has become more popular due to rehabilitation applications, easy installation, cheapness, and so forth. Brain Computer Interface Systems can receive brain signals and input them into a computer. These signals can then be analysed. An important feature of BCI systems is that they hav...
Article
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In this paper, a new distributed optimal control strategy for continuous-time nonaffine nonlinear systems with unknown dynamics is presented. We exploit a paradigm based on an Extended Adaptive Dynamic Programming (EADP), which will be fully stated in the paper, to provide a distributed optimal control strategy in the presence of subsystem interact...
Article
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In this paper, a fault-tolerant control system based on back-stepping integral sliding mode controller (BISMC) is designed and analyzed for both nonlinear translational and rotational subsystems of the quadrotor unmanned aerial vehicles (UAVs). The novelty of this paper is about combination of a classic controller with a repetitive algorithm to red...
Article
In this paper, it is shown that most guidance methods can be considered as a specific form of the cross-product steering law which is based on aligning two physical vectors along with each other, and the only difference between these guidance schemes is the pair of vectors that should be aligned during the guidance process. After verifying this fac...
Article
In this paper, a novel control approach, the state-dependent robust model reference adaptive controller, is presented for a broad class of nonlinear systems with unknown parameters and matched uncertainties. At first, the well-known model reference adaptive control (MRAC) is designed for the system by considering the pseudo-linearized description,...
Article
Today, living or working of people in the vicinity and even under the high-voltage lines is a pernicious environmental hazard to humans. The male rhesus monkey is used to investigate the effects of fields produced by high-voltage towers. In this study, the function and level of effect in rhesus monkeys' brain have been investigated in cerebellum's...
Article
In this paper, the load frequency control (LFC) problem of microgrids in islanded operation mode is tackled using Fuzzy Feedforward PI (FFPI) controller. To this end, a feedforward loop is considered in the control structure of the microgrid in addition to the classical feedback controller wherein a proportional integrator controller is used. The d...
Article
Full-text available
Living near high-voltage power lines and exposure to high-frequency electromagnetic fields (EMFs) is a potential serious hazard to animal and human health. The present study was carried out to evaluate the effect of high-frequency EMFs from simulated high-voltage electric towers on cognitive, anatomical, and biological changes in male Macaque. In t...
Article
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This study presents a conventional Ziegler-Nichols (ZN) Proportional Integral Derivative (PID) controller, having reviewed the mathematical modeling of the Micro Electro Mechanical Systems (MEMS) Tunable Capacitors (TCs), and also proposes a fuzzy PID controller which demonstrates a better tracking performance in the presence of measurement noise,...
Article
In this paper, two iterative learning control (ILC) approaches based on a neural iterative learning identifier (NILI) are proposed for a class of unknown time‐varying nonlinear systems. Since both control and identification processes are done at the common iteration domain, so both tracking performance and identification performance are improved at...
Article
Full-text available
The intelligent welding robots have been widely developed and applied into the industrial production lines to improve the manufacturing efficiency. The main and important factor to improve the robotic welding performance, quality, and intelligence is the seam recognition accuracy. Higher industrial production and demands of higher precision in gas...
Article
This paper presents a novel combined State Dependent Riccati Equation (SDRE) / Function Approximation Technique (FAT)-based control design for nonlinear uncertain systems. The SDRE is employed to construct an optimal controller and the function approximation technique is utilized to estimate time-varying disturbances and uncertainties. Moreover, a...
Article
Todays, COVID-19 has caused much death and its spreading speed is increasing, regarding virus mutation. This outbreak warns diagnosing infected people is an important issue. So, in this research, a computer-aided diagnosis (CAD) system called COV-CAD is proposed for diagnosing COVID-19 disease. This COV-CAD system is created by a feature extractor,...
Article
Due to the practical restrictions such as uncertain dynamics, external disturbances and time-varying delays and lack of enough information about the remote environment, the performance of teleoperation systems cannot be guaranteed in most cases. However, some practical tasks such as tele-surgery conducted by the nonlinear teleoperation system requi...
Article
In this study, an adaptive neuro-observer-based optimal control (ANOPC) policy is introduced for unknown nonaffine nonlinear systems with control input constraints. Hamilton–Jacobi–Bellman (HJB) framework is employed to minimize a non-quadratic cost function corresponding to the constrained control input. ANOPC consists of both analytical and algeb...
Article
These days, blood cell detection in microscopic images plays a vital role in cognition, the health of a patient. Since disease detection based on manual checking of blood cells is mostly time-consuming and full of errors, analysis of blood cells using object detectors can be considered as an effective tool. Hence, in this study, an object detector...
Article
MEMS Tunable Capacitors (TC) are major elements in AC Voltage Reference Sources (VRS). Physical parametric uncertainties, external electrostatic disturbance, and measurement noise malfunction their operation and ruin the preciseness of the VRS output voltage. Our objective problem is the design of a controller to cope with the mentioned parametric...
Article
Full-text available
A novel Nonlinear Consequent Part Recurrent Type-2 Fuzzy System (NCPRT2FS) is presented for the modeling of renewable energy systems. Not only does this paper present a new architecture of the type-2 fuzzy system (T2FS) for identification and behavior prognostication of an experimental solar cell set and a wind turbine, but also, it introduces an e...
Preprint
Full-text available
Not only does this paper present a novel type-2 fuzzy system for identification and behavior prognostication of an experimental solar cell set and a wind turbine, but also it brings forward an exquisite technique to acquire an optimal number of membership functions and the corresponding rules. It proposes a seven-layered NCPRT2FS. For fuzzification...
Article
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This paper derives some necessary conditions for output redefinition. It is shown that for defining a new output it should contain at least one linear term to have a well-defined relative degree. In addition, it is presented that by a static transformation on system output, relative degree and the zero dynamics of the system are not changed. Theref...
Article
In this paper, the problem of robust adaptive output-feedback control for a class of minimum phase nonlinear systems with unknown time- varying parameters and disturbance is considered. For this purpose, a controller based on dynamic surface control (DSC) is proposed where an adaptive scheme is presented to provide estimations of unknown time-varyi...
Article
Full-text available
Decentralized force and motion control of a heavy object with lathing tools, in a cooperative multiple manipulator system is studied in this paper. Interaction of the object with robot manipulators and the environment and interaction of manipulators with each other that produce internal forces in the object are complexities in the system dynamics o...
Article
This paper designs a joint controller/observer framework using a state dependent Riccati equation (SDRE) approach for an active transfemoral prosthesis system. An integral state control technique is utilized to design a tracking controller for a robot/prosthesis system. This framework promises a systematic flexible design using which multiple desig...
Article
The pressurizer system (PRZ) plays a vital role in the operation of pressurized water reactors (PWRs). The PRZ is inherently a non-linear, time-variant system, and hence the PRZ modeling with transfer function or linear time-invariant state-space forms is not accurate enough. In this paper, the thermal-hydraulic behavior of the PRZ is modeled by RE...
Article
The safe operation of Pressurized Water Reactors (PWRs) is highly dependent on the Pressurizer (PRZ) system to stabilize the primary coolant pressure fluctuations during normal operation and maintain the pressure within specified boundaries. The behavior of the PRZ system is inherently non-linear and time-variant. Thus, it may not appropriate and p...
Article
In a re-structured environment, demand response (DR) programs are presented in a new style. The demand response program consists of demand-side management methods which answers to electricity price variations. With advent of electricity markets, the demand-side management programs was introduced into two categories: (1) energy efficiency program, (...
Article
This article presents an estimator-based nonlinear robust optimal controller for an active prosthetic leg for transfemoral amputees. The proposed controller is derived from a combination of the state-dependent Riccati equation technique to optimize the energy consumption of the robot/prosthesis system and the sliding mode control to reduce the effe...
Article
This paper presents a nonlinear output tracking controller for non-minimum phase affine nonlinear systems. A new analytical method is given to find a proper synthetic output which makes the system minimum phase under a condition of static equivalence. This method is fully derived based on the closed form solution of the Hamilton-Jacobi-Bellman (HJB...
Article
The main concern of this article is addressing a new modified approach to design a nonlinear optimal controller. The modification focuses on proposing a new approximate solution for the Hamilton–Jacobi–Bellman nonlinear partial differential equation. The introduced solution works based on the state-dependent power series expansion presentation of t...
Article
In this paper, the robust control problem is tackled by employing the state-dependent Riccati equation (SDRE) for uncertain systems with unmeasurable states subject to mismatched time-varying disturbances. The proposed observer-based robust (OBR) controller is applied to two highly nonlinear, coupled and large robotic systems: namely a manipulator...
Article
Full-text available
Aim of this study is to propose a control strategy based on Simulated Annealing (SA) as a metaheuristic algorithm and Fuzzy Logic Controller (FLC) for semi-active nonlinear control of structures equipped with Magnetorheological (MR) dampers to prevent damage from severe dynamic loads such as earthquakes. MR dampers as promising semi-active control...
Article
The paper provides a different perspective on business models of the utilities in smart grids by highlighting the impact of application of Service Dominant (S-D) logic of marketing in parallel to the Good Dominant (G-D) logic. It is discussed that through adjoining the mindset and practices of S-D logic in the electricity firms with G-D logic, the...
Article
In this article, we consider the optimal topology design and distributed formation control problem of multiagent systems (MAS) with complex‐weighted directed topology. First, a framework is proposed to associate optimal topology of MAS to a constrained optimization problem with a complex Laplacian matrix, which is independent of the agent dynamics....
Article
Full-text available
Goal of this research is to produce a controlling voltage for Pulse Width Modulation (PWM) generator so that its Total Harmonic Distortion (THD) characteristic is reduced and Dynamic Voltage Restorer (DVR) compensates function of the system against error as well as turbulence in such a way that the end user has no trouble with supplied voltage. In...
Preprint
Intrusion detection is one of the primary mechanisms to provide computer networks with security. With an increase in attacks and growing dependence on various fields such as medicine, commercial, and engineering to give services over a network, securing networks have become a significant issue. The purpose of Intrusion Detection Systems (IDS) is to...
Article
Full-text available
In this paper, a nonlinear robust optimal controller is designed for an active transfemoral prosthesis using sliding mode control and state-dependent Riccati equation control. In this method, unlike most nonlinear control methods, the Jacobian approach is not used for model linearization and system's state space equations are used directly. This is...
Article
This paper presents a novel model reference adaptive iterative learning control (ILC) for unknown continuous-time linear time-varying systems. The unknown time-varying parameters of the system are neither required to vary slowly nor to have known bounds. The system is not required to be minimum-phase, stable, controllable or observable. The input o...
Article
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Attention greatly influences sensory neural processing by enhancing firing rates of neurons that represent the attended stimuli and by modulating their tuning properties. The cholinergic system is believed to partly mediate the attention contingent improvement of cortical processing by influencing neuronal excitability, synaptic transmission and ne...
Article
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Today, knowledge graphs (KGs) are growing by enrichment and refinement methods. The enrichment and refinement can be gained using the correction and completion of the KG. The studies of the KG completion are rich, but less attention has been paid to the methods of the KG error correction. The correction methods are divided into embedding and nonemb...
Article
Formation control of multiple thrust-propelled vehicles (TPVs) under deterministic and stochastic switching topologies and communication delay is addressed. Introducing a new version of variable structure control and based upon sliding mode technique, adaptive control and projection operator, we effectively handle the impact of uncertainties on the...
Article
Due to uncertainties and random behavior of sea loads, presenting an accurate hydrodynamic analysis for motion control of offshore ships is a big challenge. This paper aims to propose a novel method for motion control of a crew transfer vessel (CTV) in order to ensure safe crew transfer to an offshore wind turbine (OWT). For this purpose, we propos...
Article
Objective: Gastric cancer is one of the most common types of cancers, which will result in irreparable harm in the case of misdiagnosis or late diagnosis. The purpose of this study is to investigate the capability of data mining techniques and disease risk factor characteristics to predict and diagnose the gastric cancer. Methods: In this retros...
Article
In this study, back-stepping integral sliding mode control (BISMC) with iterative learning control (ILC) algorithm are presented for nonlinear translational and rotational dynamics of the Quadrotor UAVs. The proposed controller (BISMC) can track desired trajectories and (ILC) is responsible for inclining the accuracy and robustness of the control s...
Article
Full-text available
Shipping has been facing significant challenges due to strict limits imposed by the International Maritime Organization (IMO) to become more environmentally sustainable. In this regard, the use of solar energy, as a viable way to deal with the pollutant emissions caused by ships, has been attracted considerable attention. However, considerable inve...
Article
Full-text available
In this paper, a fuzzy model predictive controller is developed to reduce the emission pollutants in spark ignition internal combustion engines. The path to this control goal is regulating the amount of normalized air-to-fuel ratio in the engine. In order to generate the simulation data, mean value engine model is simulated. To approximate the nonl...
Article
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In this paper, distributed optimization in heterogeneous dynamical networks that consist of both single- and double-integrator agents are studied. This paper is divided into two main parts. In the first part, all agents shall reach a consensus point that minimizes the sum of local convex objective functions. In the proposed solution, it is assumed...