Maamar Bettayeb’s research while affiliated with University of Sharjah and other places

... However, implementing HOSMC poses practical challenges due to the requirement for higher-order derivatives of the sliding variable. In contrast, the second-order super-twisting (ST) SMC offers a viable solution as it requires only the sliding variable [22,23]. However, the ST control signal is not completely smooth. ...

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Recursive PID-NT Estimation-Based Second-Order SMC Strategy for Knee Exoskeleton Robots: A Focus on Uncertainty Mitigation

... In recent years, ESO-based controller design has gained significant attention due to its ability to effectively handle system uncertainties and external disturbances without requiring an accurate plant model. This approach has been widely explored in various applications, particularly in nonlinear systems, where the need for robust and adaptive control strategies is crucial for maintaining performance and stability [31][32][33][34][35][36][37][38][39][40][41][42]. Additionally, several existing methods, widely used today to address the proposed issues, include those presented in [43,44]. ...

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Suppressing wing rock motion through differential equation solutions as an extended state observer

... Mobile robots have become integral in various engineering applications due to rapid advances in technology. In complex environments, the ability to perform autonomous global path planning (that is, generating collision-free paths from a start point to a target while considering environmental constraints) is critical for ensuring effective navigation [1]. Global path planning not only underpins the intelligence of mobile robots but also plays a central role in ensuring safety and operational efficiency [2]. ...

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An Intelligently Enhanced Ant Colony Optimization Algorithm for Global Path Planning of Mobile Robots in Engineering Applications

... The convergence of theoretical advancements in parameterization methodologies and ESO structural improvements has elevated ADRC to a mature control paradigm with broad engineering applicability. Representative applications demonstrate its effectiveness across diverse domains: electromechanical systems (permanent magnet synchronous motor control [20]), autonomous systems (robotic manipulation [21], unmanned aerial vehicles navigation [22]), industrial applications (agricultural control systems [23]), and smart structures (piezoelectric actuator control [24]). This expanding implementation spectrum underscores ADRC's versatility as a modern control solution for complex dynamic systems. ...

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A Composite Linear Active Disturbance Rejection Control-Sliding Mode Control Strategy with Nominal Model Compensation for Precision Motion Tracking in Semiconductor Die Attach Machines

... The researchers employed color image descriptors to train the chosen algorithms. Their findings indicated that the rgSIFT descriptor, in conjunction with k- Nearest [43]. ...

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Enhancing fault detection and classification in photovoltaic systems based on a hybrid approach using fuzzy logic algorithm and thermal image processing

... When integrated with a feedforward-feedback control architecture, this enables higher tracking accuracy and lower control latency [19]. Sana Stihi et al. introduced a prescribed performance neural network model predictive control (PPNNMPC) method for a four-degree-of-freedom robot, which incorporates neural networks and performance functions to optimize tracking performance [20]. Although such methods enhance prediction accuracy and adaptability, they still suffer from issues such as limited generalization under highly dynamic responses or long-term dependency modeling scenarios, slow network convergence, and low inference efficiency [21]. ...

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Research on Intelligent Vehicle Tracking Control and Energy Consumption Optimization Based on Dilated Convolutional Model Predictive Control

... For example, Han et al. 17 applied a hybrid approach combining Gray Wolf Optimization (GWO) and Whale Optimization Algorithm (WOA) to a manipulator system, optimizing the parameters of both the controller and observer to enhance performance and stability. Similarly, Gad et al. 18 proposed an SMC strategy that improves the ...

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HEPSO-SMC: a sliding mode controller optimized by hybrid enhanced particle swarm algorithm for manipulators

... Inverter yang digunakan dalam sistem ini biasanya memiliki kapasitas daya yang beragam, mulai dari 1000W hingga 1600W, yang mampu mengonversi tegangan dengan efisiensi tinggi. Selain itu, inverter juga dilengkapi dengan sistem proteksi otomatis untuk mencegah kerusakan akibat overheat atau overload [14], [15]. ...

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IMPLEMENTASI PENGISIAN BATERAI KENDARAAN LISTRIK AC DAN DC DENGAN SUMBER ENERGI HYBRID

... Nevertheless, in high-dynamic environments where fast response and precise path tracking are required, PPC often fails to meet the accuracy demands of practical applications. Fuzzy Logic Control (FLC) [24][25][26], on the other hand, effectively addresses nonlinearities and uncertainties in the system, making it applicable for control tasks in complex environments. However, in distributed task scheduling with high complexity or resource constraints, FLC may face challenges related to computational efficiency. ...

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A Distributed Collaborative Navigation Strategy Based on Adaptive Extended Kalman Filter Integrated Positioning and Model Predictive Control for Global Navigation Satellite System/Inertial Navigation System Dual-Robot

... where T is a design parameter that specifies the rate at which the macro-variable converges to the invariant manifold (x, t) = 0. The function θ( ) is a differentiable and smooth function of , selected to meet the convergence rate requirements [20,39,44,45]. ...

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Fixed-time synergetic ADRC for nonlinear fractional-order systems with uncertainties and external disturbance