Author

J. Tiang

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Open access Aug 2026

Observer-Based Hybrid Backstepping–Super-Twisting Control of a Twin Rotor MIMO System with Windowed Metaheuristic Gain Scheduling: Real-Time Tracking Experiments and Numerical Disturbance Analysis

Twin Rotor Multi-Input Multi-Output (TRMS) platforms combine strong aerodynamic cross-coupling, gravitational loading on the vertical axis, friction-dominated horizontal dynamics, and systematic mismatch between idealised models and laboratory hardware. The platform provides only two optical encoders, so the angular ra...

Azeddine Beloufa, A. Kacimi, S. Tahraoui et al. · Actuators · 1 citation

Open access Sep 2026

Deep Learning Benchmarks for Multi-Step Photovoltaic Power Forecasting: Comparative Assessment of GRU, LSTM, and BiLSTM Architectures

Accurate photovoltaic (PV) power forecasting is essential for renewable energy integration, dynamic reserve allocation, and generation scheduling. Unpredicted generation ramps induce substantial voltage and frequency deviations on grid-connected distribution networks. This paper provides an objective benchmark among th...

I. E. El-Ghoul, Antar Beddar, F. Hadjrioua et al. · Energies · 0 citations

Open access Jul 2026

Metaheuristic optimized hybrid machine learning framework for predicting soil compaction parameters.

Accurate prediction of maximum dry density (MDD) and optimum moisture content (OMC) is critical for effective compaction control and earthwork design in geotechnical engineering. Conventional laboratory compaction tests are time-consuming and resource-intensive, motivating the adoption of reliable data-driven predictio...

Bayram Ateş, J. Tiang, M. A. Eirgash et al. · Scientific Reports · 0 citations