Original Article
Advanced Control Systems & Theory
Zahra Sadat Aghayan
Volume 1, Issue 1 , September 2026, Pages 1-8
Abstract
This paper proposes a guaranteed cost proportional-derivative (PD) feedback strategy for synchronizing master–slave variable fractional-order Lur'e systems (VFOLSs) when the systems are subject to input time delays. The design ensures both asymptotic convergence and a guaranteed upper bound on ...
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This paper proposes a guaranteed cost proportional-derivative (PD) feedback strategy for synchronizing master–slave variable fractional-order Lur'e systems (VFOLSs) when the systems are subject to input time delays. The design ensures both asymptotic convergence and a guaranteed upper bound on the cost performance. Based on linear matrix inequalities (LMIs) and the Lyapunov–Krasovskii stability approach, sufficient criteria for synchronization are presented. The effectiveness of the proposed control approach is demonstrated via simulation results, which also confirm its practical applicability.
Original Article
Intelligent Electromechanical & Automation Systems
Arezou Elahi
Volume 1, Issue 1 , September 2026, Pages 9-16
Abstract
This study investigates delay independent consensus control strategy for vehicular platooning systems experiencing time-varying network delays. First, we design a sliding manifold that ensures the convergence of distance tracking errors to zero within a designated time interval once sliding occurs. Next, ...
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This study investigates delay independent consensus control strategy for vehicular platooning systems experiencing time-varying network delays. First, we design a sliding manifold that ensures the convergence of distance tracking errors to zero within a designated time interval once sliding occurs. Next, applying Lyapunov theory a distributed control law is formulated to steer the states of the system onto the manifold within a fixed settling time. The theoretical developments are ultimately validated via simulation experiments.
Original Article
Advanced Control Systems & Theory
Mahsa Kashani; Zhenyu Yang
Volume 1, Issue 1 , September 2026, Pages 17-24
Abstract
Due to the inherent fluctuations of the power system, Flexible AC Transmission Systems (FACTS) could be applied to enhance the power system stability. Static Synchronous Compensator (STATCOM) employed for parallel reactive power compensation is one of the second-generation FACTS devices. This paper presents ...
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Due to the inherent fluctuations of the power system, Flexible AC Transmission Systems (FACTS) could be applied to enhance the power system stability. Static Synchronous Compensator (STATCOM) employed for parallel reactive power compensation is one of the second-generation FACTS devices. This paper presents a novel optimal robust scheme to design damping controller of STATCOM. The proposed scheme is given based on non-dominated multi-objective optimization problem by considering 𝜇-synthesis method and eigenvalues analysis. To cope with the power system uncertainties, a fixed-structure controller is used by applying P Δ K configuration to reach system robustness and stability. Moreover, optimal performance in the nominal operating point is considered as one of the main objectives for the proposed controller designing besides the robust performance. A comprehensive and coherent approach is proposed to achieve the best values of the controller parameters. The suggested controller’s supremacy is represented through a comparison of its performance with some other controllers obtained by D-K reduced and H1 method. The simulation results show the effectiveness of the proposed method and the designed controller gives favorable stability and robustness.
Original Article
Intelligent Electromechanical & Automation Systems
Mahdi Rahnamaei Hashjin; Mojtaba Shivaie; Felipe Vigolvino Lopes
Volume 1, Issue 1 , September 2026, Pages 25-33
Abstract
Power quality disturbances (PQDs), including voltage sags, swells, harmonics, and transient fluctuations, pose significant challenges to the stability, reliability, and efficient operation of large-scale industrial distribution grids, particularly with the increasing integration of photovoltaic (PV) ...
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Power quality disturbances (PQDs), including voltage sags, swells, harmonics, and transient fluctuations, pose significant challenges to the stability, reliability, and efficient operation of large-scale industrial distribution grids, particularly with the increasing integration of photovoltaic (PV) systems. This paper presents a deep learning-based approach for the detection and classification of PQDs using real and simulated data from an active industrial distribution network. The distribution grid is modeled and simulated in ETAP 19.0.1, incorporating power load-flow and harmonic analyses to represent the operating conditions of the studied system. A deep neural network (DNN) is trained using a comprehensive dataset to classify the predefined PQD categories. The proposed DNN achieves a training accuracy of approximately 94% and a validation accuracy of approximately 92%, compared with the 85% accuracy reported for the DAG-SVM approach developed by Li et al. [3]. The results demonstrate that the proposed approach can effectively classify PQDs and provide a scalable framework for real-time power quality monitoring. Furthermore, the proposed method enhances the capability of industrial distribution systems to identify and manage disturbances under diverse operating conditions. These findings highlight the potential of deep learning as a practical and scalable solution for PQD classification and monitoring in modern industrial power systems, particularly in PV-integrated environments.
Original Article
Advanced Control Systems & Theory
Kamran Alishaei
Volume 1, Issue 1 , September 2026, Pages 35-42
Abstract
In recent years, there has been continuing interest in the development of robust controllers for acontainer ship for the way-point tracking problem. Despite their high efficiency, high-order robust controllersmay not be feasible for real-time implementations due to hardware and computational limitations. ...
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In recent years, there has been continuing interest in the development of robust controllers for acontainer ship for the way-point tracking problem. Despite their high efficiency, high-order robust controllersmay not be feasible for real-time implementations due to hardware and computational limitations. This paperpresents an evolutionary-based robust controller design for the position tracking system of a container ship. Thedeveloped algorithm allows for the implementation of simple-structure controllers that satisfy robust stabilityand performance requirements. The performance of the designed controller is validated and compared usingthe ship steering system. Simulation results demonstrate the effectiveness of the designed controller.
Original Article
Advanced Control Systems & Theory
Javad Keighobadi
Volume 1, Issue 1 , September 2026, Pages 44-50
Abstract
This paper presents a new robust model-free control strategy for uncertain flexible-joint robot manipulators subject to actuator saturation and external disturbances. The proposed framework integrates a backstepping-based adaptive control architecture with the Bernstein-Schurer-Stancu (BSS) operator ...
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This paper presents a new robust model-free control strategy for uncertain flexible-joint robot manipulators subject to actuator saturation and external disturbances. The proposed framework integrates a backstepping-based adaptive control architecture with the Bernstein-Schurer-Stancu (BSS) operator as a universal approximator to compensate for unknown system dynamics and uncertainties without requiring precise mathematical modeling. To circumvent the complexity problem, a command-filtered control methodology with an error compensation mechanism is incorporated. Additionally, an auxiliary compensation system is developed to mitigate the adverse effects of input saturation, with its states directly utilized to construct the compensated error surfaces that drive the adaptation laws for the BSS operator coefficients. The uniformly ultimately bounded stability of the closed-loop system is rigorously established through recursive Lyapunov analysis. Comparative simulation studies on a flexible-joint robot manipulator demonstrate that the proposed BSS operator-based approach achieves superior tracking performance, faster convergence, and reduced computational overhead compared to conventional fuzzy control scheme. The theoretical results validate the effectiveness of the proposed methodology for satisfactory control of flexible-joint robots under practical constraints.
Original Article
Advanced Control Systems & Theory
Hamzeh Ansari; Mostafa Siavashi
Volume 1, Issue 1 , September 2026, Pages 52-56
Abstract
In this paper, the fractional-order sliding mode approach is employed to control a cable-driven parallel robot. Due to uncertainties in kinematic and dynamic parameters, as well as the use of tension cables, cabledriven robots inherently exhibit a vibrating structure and uncertainty. Consequently, robustness ...
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In this paper, the fractional-order sliding mode approach is employed to control a cable-driven parallel robot. Due to uncertainties in kinematic and dynamic parameters, as well as the use of tension cables, cabledriven robots inherently exhibit a vibrating structure and uncertainty. Consequently, robustness is a crucial aspect of controlling such systems. To achieve full controllability, actuation redundancy is also necessary. For all cable-driven robots, the cables cannot have negative tension values. Furthermore, because of the positive tension in the cables, the control rules must also yield positive values. The combination of positive tension, actuation redundancy, and a vibrating structure makes the control of these robots a challenging problem for engineers, highlighting the importance of designing a robust controller. In this article, robust sliding modecontrollers are modified using the fractional-order approach. The proposed method demonstrates superior results compared to the conventional sliding mode method, particularly under disturbance conditions. The Lyapunov stability theorem is utilized to establish the stability and validity of the proposed method, and its effectiveness is illustrated through simulations in MATLAB/Simulink.
Original Article
Advanced Control Systems & Theory
Zahra Sadat Aghayan
Volume 1, Issue 1 , September 2026, Pages 57-63
Abstract
This paper proposes a non-fragile output-feedback control strategy for achieving master-slave synchronization of uncertain fractional-order Lur'e systems (FOLSs) subject to time-varying input delays. The proposed controller guarantees asymptotic convergence of the synchronization error to zero, even ...
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This paper proposes a non-fragile output-feedback control strategy for achieving master-slave synchronization of uncertain fractional-order Lur'e systems (FOLSs) subject to time-varying input delays. The proposed controller guarantees asymptotic convergence of the synchronization error to zero, even in the presence of parametric uncertainties within the system and gain variations in the controller implementation. Sufficient conditions for the existence of such a controller are derived in terms of linear matrix inequalities (LMIs) based on fractional-order stability criteria. The effectiveness and practical applicability of the proposed approach are demonstrated through numerical simulations performed on an uncertain fractional-order Chua's circuit, which confirm its robustness.
