Mohammad Ali Badamchizadeh

• Professor
• Professor (Full) at University of Tabriz

Demand response, and artificial intelligence integration with it, have a considerable effect in optimizing energy consumption, grid stability, and promoting sustainable energy practices. Consequently, this paper presents NeuroQuMan, a comprehensive methodology for simulating demand response using a three-Qubit quantum neural network (QNN) model. Ne...

This paper presents a new resilient integrated fault detection and control module for a DC microgrid operating in islanded mode. The proposed design is unique in its ability to simultaneously improve microgrid reliability and mitigate variations through a multi-objective approach that considers both control and diagnosis objectives in the form of L...

The authors present the investigation of a new hybrid predictive model of Duplex Attention-based Coupled LSTM Markov Averaged Neural Network, known as DACL-MANN. The financial field, particularly the stock market, heavily relies on accurate predictive models. DACLMANN comprises four essential components: two LSTM blocks, an Averagiser and a Markov...

In this paper, robust distributed consensus control is designed based on adaptive time-varying gains for a class of nonlinear multi-agent systems (MAS) in the presence of uncertain parameters and external disturbances with unknown upper bounds. Due to various conditions and constraints, different dynamical models for the agents can be considered in...

This paper studies the synchronization of fractional-order chaotic systems in the presence of unknown external disturbances. A new disturbance identification method using fractional-order algebraic identification is proposed to handle unknown disturbances. In order to guarantee system stability, the nonlinear state-feedback controller is designed b...

In this paper, a new framework for distributed switching control of parallel DC-DC buck converters is investigated, which represents voltage regulation and current sharing as two decoupled control design problems. The problem is described as a cascaded switched affine system with the new variables output voltage, total current, and current differen...

This article investigates fixed-time control methods for a class of uncertain nonlinear systems. A novel fixed-time super-twisting (FXST) disturbance observer has been designed to accurately estimate the imposed perturbations on the system in the sense of fixed-time stability without being affected by initial conditions. Then, based on the achieved...

Modeling the trend of contagious diseases has particular importance for managing them and reducing the side effects on society. In this regard, researchers have proposed compartmental models for modeling the spread of diseases. However, these models suffer from a lack of adaptability to variations of parameters over time. This paper introduces a ne...

This paper investigates the consensus of distributed model predictive control for n-dimensional linear multi-agent systems with uncertain and heterogeneous dynamics, with the same dimensions. Output tracking and regulation of the multi-agent uncertain systems have been studied in recent years, but there are a few efficient studies regarding polytop...

In the present work, a new hybrid approach combining particle swarm optimization (PSO) algorithm with recurrent dynamic neural network (RDNN), which is described as PSO-RDNN algorithm, is proposed for multi-performance optimization of machining parameters in finish turning of hardened AISI D2. The suggested optimization problem is solved using the...

In this paper, the problem of free-will arbitrary time stabilization for a class of nonlinear systems is investigated. In an effort to extend the idea of fixed-time theory to a broader class of systems, a prescribed-time controller has been developed by examination of a general form of the strict-feedback systems. By means of the designed control s...

This article proposes a new method of distributed fault‐tolerant control for a class of nonlinear interconnected systems with actuator faults. This method is based on fault‐hiding idea as a reconfiguration control scheme and tries to redesign the control signal according to the dynamics of the faulty subsystem. Based on fault‐hiding principle, afte...

In this paper, we investigate a class of nonlinear MIMO systems based on prescribed-time sliding mode control (PTSMC). In an effort to extend the concept of fixed-time theory with capability of handling more practical systems, we have developed a PTSMC based on the free-will arbitrary time (FWAT) principle of stability. We propose the FWAT sliding...

In this paper, two different active control approaches are proposed for a cascaded interconnection of a boost converter and input filter. Designing stabilizing controller in the presence of input filter is a challenging problem. For this reason, a continuous embedded Pulse Width Modulation (PWM) control approach based on the averaged dynamics of th...

In the present article, a terminal sliding mode control strategy has been proposed in order to address the synchronization problem for a class of perturbed nonlinear systems with fixed convergence time and input quantization. The proposed protocol guarantees the fixed-time convergence of the sliding manifold to the origin, which means that the conv...

This paper studies the synchronization problem of two nonlinear multi-input multi-output (MIMO) systems in a finite-time period. For this purpose, a terminal sliding mode controller (TSMC) with a finite-time disturbance observer (FTDO) is employed. Using an FTDO, in a finite time interval, the disturbance parameters precisely can be identified whic...

In this paper, the stability problem for a class of nonlinear systems in the form of strict-feedback with applying input quantization has been addressed. By considering a sector-bounded hysteresis quantizer, signal quantization has been achieved. The employed quantizer can blackuce the potential chattering which can occur in some approaches By usin...

To study the underactuated systems, two connected inverted pendulum on carts (TCIPC) which is also a suitable benchmark to model various problems of control theory is utilized. In this work, a fast-terminal sliding mode controller (FTSMC) investigates the tracking problem of TCIPC. The designed controller makes the state trajectories of the system...

In this research study, the fuzzy consensus control for nonlinear multi-agent systems (MAS) with second-order dynamics and in finite time by considering imposed bounded disturbances is investigated. According to the continuous homogeneous consensus control technique in finite time for the nominal nonlinear MAS, integral sliding mode (ISM) control w...

This paper considers a class of nonlinear fractional-order multi-agent systems (FOMASs) with time-varying delay and unknown dynamics, and a new robust adaptive control technique is proposed for cooperative control. The unknown nonlinearities of the systems are online approximated by the introduced recurrent general type-2 fuzzy neural network (RGT2...

The problem of adaptive global finite-time stabilization control for a class of nonlinear switched systems in the presence of external perturbations and arbitrary switchings has been addressed in this research study. The proposed scheme has been designed based on a finite-time estimation technique in which during the control procedure, unknown impo...

In this paper, a new method for designing controller for linear switching systems with varying delay is presented concerning the Hurwitz-Convex combination. For stability analysis the Lyapunov-Krasovskii function is used. The stability analysis results are given based on the linear matrix inequalities (LMIs), and it is possible to obtain upper dela...

In this paper, a fuzzy finite-time sliding mode control (SMC) scheme has been investigated for the synchronization problem of electrostatic and electromechanical transducers along with regarding chaotic properties. It is assumed that the considered transducers are disturbed by some imposed perturbations such as model uncertainties and external dist...

In this paper an optimal control of a high-dimensional chaotic system for a 4D Hamiltonian hyper-chaotic the conservative system is investigated. In comparison to other chaotic systems, conservative chaotic systems have more interesting features like attraction and complexity, which are mostly used in practical systems. In addition, in this paper s...

In this paper, a fuzzy adaptive sliding mode control (FASMC) technique is used to control a new chaotic system. Using sliding mode control, a unique sliding manifold is considered, and the control law is achieved. The adaptive sliding mode control law is to make the states of the system track the desired signal and guarantee the property of asympto...

In this study, a distributed control problem is addressed for switched affine multi-agent systems. In dynamical systems with an affine control input, the use of error feedback is essential for the realization of consensus protocols, but different from most existing results with affine control multi-agent systems, switched affine multi-agent systems...

In this paper, motivated by the need for distributed control of multi-agent networks consist of switched affine systems, a distributed leader following consensus controller is developed. Different from most existing methods with affine control multi-agent systems, switched affine multi-agent systems face additional difficulties in the analysis and...

In this paper, secure communication using the synchronization of complex networks has been studied. The method of secure communication is based on chaotic parameter modulation. The adaptive update rules are obtained for the identification of parameters and messages in the receiver. Considered networks have time‐varying parameters. Also, the switchi...

In this paper, the synchronization problem of complex networks using fuzzy-based impulsive control is discussed. Synchronization problem is considered for networks with switching topologies. Also, each node of the networks has a time-varying chaotic dynamic. Based on the Takagi–Sugeno fuzzy model, a new representation of a complex network is presen...

This paper addresses the stability conditions of the sampled-data teleoperation systems consisting continuous time master, slave, operator, and environment with discrete time controllers over general communication networks. The output signals of the slave and master robots are quantized with stochastic sampling periods which are modeled as being fr...

The possibility of operating in remote environments using teleoperation systems has been considered widely in the control literature. This paper presents a review on the discrete-time teleoperation systems, including issues such as stability, passivity and time delays. Using discrete-time methods for a master-slave teleoperation system can simplify...

Robotic laparoscopic grasper is a surgical tool with minimal invasion. In this robot, achieve goals like precise tracking, stability and disturbance rejection are very important. In this paper, first the stages of modeling and simulating of laparoscopic robot will be discussed and the reasons for selecting the appropriate materials for different pa...

This paper presents an analysis of the passivity condition for discrete-time bilateral teleoperation systems. Considering discrete-time controllers for a master-slave teleoperation system can simplify its implementation. Varieties of control schemes have been utilized for the position error based architecture of bilateral teleoperation systems and...

This paper proposes a new method for designing a state feedback controller for stabilizing and also making the desired performance of Interval Type-2 Takagi–Sugeno-Kang Fuzzy Logic Systems (fIT2 TSK FLS). By using the advantages of WU-Mendel Uncertainty Bounds (WM-UB) method, this paper proposes a new approach for Single-Input and Single-Output (SI...

This paper develops the stability analysis for linear bilateral teleoperation systems exposed to communication constraints and multirate samplers. Dynamics of the master and slave robots are assumed to be continuous-time with discrete-time controllers. The proposed multirate design guarantees the exponential stability of the teleoperation system ov...

This paper presents a new fractional-order sliding mode controller (FOSMC) for disturbance rejection and stabilization of a class of fractional-order systems with mismatched disturbances. To design this control strategy, firstly, a fractional-order extended disturbance observer (FOEDO) is proposed to estimate the matched and mismatched disturbances...

This paper proposes an intelligent model-based optimization methodology for optimizing the production cost and material removal rate subjected to surface quality constraint in turning operation of hardened AISI D2. Unlike traditional approaches, this paper deals with finding optimum cutting parameters considering the real condition of the cutting t...

In our paper, a new cooperative control for unknown fractional-order multi-agent systems is proposed. In addition to unknown dynamics, for the first time, the values of the fractional orders are also assumed to be unknown, and a new robust observer-based cooperative method for consensus issue of multi-agent systems (MASs) is presented. The unknown...

Motor imagery (MI) brain-computer interface (BCI) performance is highly influenced by non-stationarity and artifact contamination of electroencephalogram (EEG) signals. This paper presents a framework for overcoming EEG uncertainties in real-time multiclass MI BCI. An artifact rejected multiclass extension of common spatial pattern (CSP) by using j...

Passivity-based control (PBC) is model-based, and as a result, it is affected by uncertainties. Besides, for some PBC designs, partial differential equations (PDEs) should be solved in order to obtain the parameters of the controller. Actor-critic (AC) algorithm has been used to regulate PBC parameters instantaneously and solve PDEs online. Despite...

This paper proposes adaptive prediction-based control design for nonlinear chaotic systems in the presence of input quantization with actuator delay. A class of sector-bounded quantizer, namely the hysteresis quantizer, has been used to quantize the control signal. Adaptive scheme is utilized to estimate unknown parameters of the nonlinear chaotic...

This paper proposes two new designing methods of adaptive controllers in order to synchronize uncertain nonlinear chaotic systems with input quantization. The hysteresis quantizer, which is a class of sector-bounded quantizers, has been used to quantize the control signal. This can avoid the possible chattering caused by some conventional controlle...

In this paper, a new min-type control law is designed for interleaved boost converters. Compared to pulse-width modulation based controllers, switched linear equations are used in the controller design procedure. Therefore, the proposed controller presents faster transient responses. In order to improve the reliability and efficiency of the convert...

This paper studies the problems of stability and H∞ model reference tracking performance for a class of asynchronous switched nonlinear systems with uncertain input delay. First, it is assumed switched controller and corresponding piecewise Lyapunov function are unknown but the derivative of piecewise Lyapunov function has a condition; this conditi...

One of the main issues restricting the practical efficiency of BCI systems is inevitable occurrence of physiological artifacts during EEG recordings. The effects of the artifacts are, however, mostly discarded in practical BCI systems, due to the time-consuming and complicated computational processes. This paper presents the influences of the artif...

Virtualization in the data center network is used to overcome the resistance of Internet ossification. Node mapping in virtual network embedding (VNE) process is more important than link mapping because each node mapping has a lot of choices with high probability. Historical data always have valuable information which displays how to be mapped virt...

Network virtualization provides the substruction of various heterogeneous Virtual Networks (VNs)on a single physical infrastructure which is called Virtual Network Embedding (VNE)and is known as an Np-hard problem. The VNE includes two sub-problem; virtual node mapping and virtual link mapping. Related works do not consider network topology and ene...

In this paper, a type-2 fuzzy neural network predictive (T2FNNP) controller has been designed in the feedback error learning (FEL) framework for a class of input delay nonlinear systems considering of unknown disturbance and uncertainties. In this method, the predictor has been utilized to estimate the future state variables of the controlled syste...

Sliding-mode controllers are widely utilized for increasing the output power of photovoltaic sources. These sliding-mode controllers are primarily based on one-loop or two-loop schemes. The two-loop scheme is composed of two loops, i.e., searching and tracking loops. A maximum power point searching unit is utilized in the searching loop, and a trac...

In this paper, a type-2 fuzzy neural network (T2FNN) controller has been designed for a class of nonlinear time-delay systems using the feedback error learning (FEL) approach. In the FEL strategy, the T2FNN controller is in the feedforward path to overcome the nonlinearity and time delay and a classical controller is in the feedback path to guarant...

This paper investigates stability analysis and robust model reference tracking control problem for a class of switched nonlinear systems with input delay and disturbance. Using a new Lyapunov–Krasovskii functional, free-weighting matrices and average dwell time technique, new input-to-state stability conditions are derived in terms of linear matrix...

In this paper, a new observer-based switched linear (SL) control law is designed for output voltage regulation of quadratic-boost converters. The proposed controller is based on the min-type switching strategy. Switching behavior of the converter is considered in the design procedure. The system is based on the direct one-loop control scheme. A rob...

In this study the robotic deception phenomenon is raised in the framework of a signaling game which utilizes fuzzy logic and game theory along with inspirations from nature. Accomplishing the fuzzy signaling strategy set for deceptive players serves as a great part of our contribution and on this aim, hierarchical fuzzy inference systems support re...

The passivity-based control (PBC) is not robust and it relies upon the system model. Moreover, partial differential equations (PDE) are encountered during its designing process which are difficult to be solved and in some cases unfeasible. In this article, reinforcement learning (RL) designs the PBC parameters via solving PDE online. RL and adaptiv...

In this paper, the stability issue and tracking control problem for a class of switched nonlinear systems with uncertain input delay and disturbance are investigated. First, it is assumed a piecewise Lyapunov function exists for the nominal system (system without input delay and disturbance), and then, under the terms of the hypothetical piecewise...

Advances in micro-electro mechanical system (MEMS) technology bring about revolutionary changes in au- tonomous vehicle navigation. As a new development, strap-down inertial navigation system (SINS) is effectively combined with global navigation satellite system (GNSS) to construct an integrated SINS/GNSS system. However, time-growing navigation er...

In this paper, synchronization of time-varying fractional order chaotic systems, is introduced. Parameters of system play an important role in chaotic systems. A time-varying parameter is selected for chaotic systems, also orders of systems are considered as time-varying orders. A reliable controller is designed to synchronize two different fractio...

One of the major problems associated with the motor imagery (MI) electroencephalogram (EEG) based brain-computer interface (BCI) classifications is the informative ambiguities mainly caused by interferences of artifacts and non-stationarities in EEG signals. Other factors containing mislabeling or misleading MI EEG trials might also cause more unce...

Efficient solving of practical optimization problems in important fields like the energy and its peripheral problems has been an ever-growing attractive topic for many academicians and industries during the recent decades. This paper introduces a swarm-based optimization method, namely the Floating Search Space, to solve one of the most important e...

In this paper, a new control strategy for singleinductor multiple-output (SIMO) converters is proposed. The strategy is based on the hybrid control scheme. Switched linear equations of the converter are used in the design procedure. As a result, cross regulation is suppressed inherently. A minimum dwell-time constraint is considered to suppress the...

In this paper, the problem of simultaneous fault detection and control for continuous-time switched state-delay systems under asynchronous switching is investigated. The aim is to design a detector/controller unit where the detector is an observer and the controller is an observer-based controller. Based on the average dwell time approach, a new me...

The ability of Bond Graph (BG) in modeling multi-domain structures results in a more precise and expansive interface. Hence, this paper develops the model of a quadrotor using BG approach. Then, the paper introduces and optimizes a Fuzzy Logic Controller (FLC) with the aim of making intelligent decisions close to human decisions. Additionally, a Pa...

This paper presents an analysis of the passivity condition for discrete-time bilateral teleoperation systems. Considering discrete-time controllers for a master-slave teleoperation system can simplify its implementation. Varieties of control schemes have been utilized for the position error based architecture of bilateral teleoperation systems and...

This paper addresses the stability conditions of the sampled-data teleoperation systems consisting continuous-time master, slave, operator, and environment with discrete-time controllers over general communication networks. The output signals of the slave and master robots are quantized with stochastic sampling periods which are modeled as being fr...

The possibility of operating in remote environments using teleoperation systems has been considered widely in the control literature. This paper presents a review on the discrete-time teleoperation systems, including issues such as stability, passivity and time delays. Using discrete-time methods for a master-slave teleoperation system can simplify...

This paper concerns the problems of stability and robust model reference tracking control for a class of switched nonlinear systems with input delay under asynchronous switching. By proposing a new Lyapunov-Krasovskii functional, and using free-weighting matrices and average dwell time technique, new input-to-state stability conditions are derived...

Fractional control schemes are powerful tools for fulfilling robust tracking performance of different systems. This paper is the pioneering one in developing a fractional-order adaptive backstepping controller (FOABC) for a general class of integer-order and fractional-order (FO) systems. Model uncertainties and external disturbances can perturb sy...

In this paper a new indirect type-2 fuzzy neural network predictive (T2FNNP) controller has been proposed for a class of nonlinear systems with input-delay in presence of unknown disturbance and uncertainties. In this method, the predictor has been utilized to estimate the future state variables of the controlled system to compensate for the time-v...

In this paper, a new feed-forward fractional-order PD optimal controller is proposed for a class of fractionalorder MIMO (FO-MIMO) systems subjected to sinusoidal disturbances. The optimal parameters of the proposed fractional-order PD controller are obtained with the relations between the time domain state space optimal control and the frequency d...

In this study, a new fractional-order terminal sliding mode controller (FOTSMC) is designed for stabilization of a class of fractional-order nonlinear systems in the presence of matched uncertainties and external disturbances. Fractional-order terminal sliding mode control which is combination of terminal sliding mode control with the fractional ca...

This paper presents a new fractional-order terminal sliding mode control for synchronization of two different fractionalorder chaotic systems with uncertainty and external disturbances. A fractional-order integral type nonlinear switching surface is presented. Then, using the Lyapunov stability theory and sliding mode theory, a fractional-order con...

In this paper, the surrounding control problem of a group of non-identical agents is considered, where a team of followers achieves an equidistant distributed formation to surround a team of moving leaders. An adaptive design method is presented for multi-agent systems where the dynamics of agents are supposed to be nonlinear with unknown parameter...

In order to maximize the conversion efficiency of photovoltaic systems, it is usually essential to design a maximum power point tracking controller. In this paper, a new second-order fuzzy sliding-mode controller is designed for this purpose. Since the proposed scheme is based on the second-order sliding-mode control law, it can handle nonlinear dy...

This paper concerns the simultaneous fault detection and control (SFDC) problem for a class of nonlinear stochastic switched systems with time-varying state delay and parameter uncertainties. The switching signal of detector/controller unit (DCU) is assumed to be with switching delay, which results in the asynchronous switching between the subsyste...

In this paper, the state augmented adaptive backstepping controller is designed and implemented on a two degrees of freedom (2-DOF) nonlinear robot manipulator. The controller should be designed in a way to stabilize the system and make the manipulator track the desired trajectory. The concept of backstepping control is to propose a virtual control...

Sliding mode control technique is one of the well-recognized non-linear control methods. This method has an advantage like robustness against uncertainties. However, the performance of closed loop system is constrained by chattering phenomenon. To increase its efficiency, a fuzzy compensator is used along with this method. The fuzzy compensator wei...

The aim of this paper is to improve the tracking performance of a robotic manipulator by designing an adaptive controller and implementing it on the system. The proposed controller guarantees the system stability as well as good tracking performance in existence of nonlinearity and parameter uncertainties. The requirement to decrease the system res...

This study deals with the problem of simultaneous finite‐time control and fault detection for linear switched systems with state delay and parameter uncertainties. Delay is assumed to vary in an interval with a nonzero lower bound and specified range. Uncertainties are norm‐bounded time‐varying and exist in the matrix of the system. Based on averag...

In this paper, a model for a Quadrotor helicopter has been considered when a fault has been occurred in its actuators. The sliding mode control technique has been utilized as one of a robust passive fault tolerant control methods to control the Quadrotor’s attitude. An adaptive fuzzy system, as a compensator has been used to compensate the estimati...

Removal of ocular artifacts (OA) in real-time is an essential component in electroencephalography (EEG) based brain computer interface (BCI) applications. However, many proposed artifact removal methods are not applicable in real-time applications due to their time-consuming process. In this paper we propose a hybrid approach based on a new combina...

In redundant manipulators, there are infinite numbers of joint space velocities that lead to a specific task space velocity. Thus, the main problem is calculating a local maximum for null space joint velocity regarding to physical constraints of a robotic manipulator. The manipulability measure, the distance from mechanical joint limits and the dis...

In this paper, the problem of finite-time stabilization and control of an n-degree of freedom (DOF) robotic manipulator is concerned. Factors such as model nonlinearity, uncertainties, and external disturbances can interfere in a closed-loop system performance. In order to attenuate these effects and improve the response characteristics of the syst...

This study presents a new chattering free full-order terminal sliding-mode controller (FOTSMC) for maximum power point tracking of photovoltaic cells. The proposed system consists of two loops, namely seeking loop and tracking loop. The seeking loop utilises an adaptive perturb and observe method for maximum power point (MPP) searching. Since the a...

This paper proposes a new sliding mode controller for maximum power point tracking of photovoltaic cells. By defining a suitable sliding surface, the proposed control law does not require reference voltage/current. The proposed system is based on the one-loop control schemes which makes its implementation easy. Stability of the proposed system is e...

This paper investigates the stabilization and disturbance rejection for a class of fractional-order nonlinear dynamical systems with mismatched disturbances. To fulfill this purpose a new fractional-order sliding mode control (FOSMC) based on a nonlinear disturbance observer is proposed. In order to design the suitable fractional-order sliding mode...

In this study, an adaptive fractional-order terminal sliding mode controller is proposed for controlling robot manipulators with uncertainties and external disturbances. An adaptive tuning method is utilised to deal with uncertainties which upper bounds are unknown in practical cases. Fast convergence is achieved using non-singular fast terminal sl...

Since hydrodynamic coefficients of autonomous underwater vehicle are varied with change of operating conditions which make it difficult to model it accurately, thus an adaptive fuzzy sliding mode control scheme is proposed for position tracking problem. Moreover, an innovative neural network compensator is designed to completely counteract effects...

In this paper, a combination of type-2 fuzzy logic system (T2FLS) and a conventional feedback controller (CFC) has been designed for the load frequency control (LFC) of a nonlinear time-delay power system. In this approach, the T2FLS controller which is designed to overcome the uncertainties and nonlinearites of the controlled system is in the feed...

This article investigates the optimal synchronization of two different fractional-order chaotic systems with two kinds of cost function. We use calculus of variations for minimizing cost function subject to synchronization error dynamics. We introduce optimal control problem to solve fractional Euler–Lagrange equations. Optimal control signal and m...

This paper proposes a new adaptive passivity-based controller (APBC) for hybrid power sources (HPSs). The HPS considered in this paper consists of a photovoltaic (PV) array, a battery, a boost converter, and a bidirectional boost converter. Dynamic equations of the system are derived based on the state-space averaging method. Afterward, a new adapt...

In this paper, parameters of a fractional-order chaotic system are identified via a robust recursive error prediction method in presence of uncertainty. A generalized ARX structure has obtained by discretization of a continuous fractional-order differential equation defines the identification model. After identifying parameters of system, we use co...