This paper proposes a hybrid integral sliding mode and finite-time control (ISMC–FTC) strategy for a two-degree-of-freedom (2DOF) robotic manipulator, targeting finite-time stability and high-precision elliptical trajectory tracking. To ensure practical deployment, the controller explicitly enforces actuator saturation...
Samara H. Al-dahlaki, Safanah M. Raafat, Shibly A. AI-Samarraie et al.· Automation· 0 citations
This work develops a leader–follower formation for differential-drive mobile robots with an explicit estimator for the leader's velocities. Firstly, a leader robot position-variance-adaptive, under-rate-limited differentiator provides forward speed and yaw-rate estimate for the leader velocities, using exponentially we...
Zeyad A. Karam, Mohammed Y. Hassan, A. Humaidi· Iraqi Journal of Computers,...· 0 citations
Two deep learning models, a custom CNN model and a transfer learning model based on the DenseNet-121 architecture are presented, showing that the developed transfer learning model based on DenseNet-121 had superior performance over the CNN model.
H. Jeiad, S. Samaan, Omar Janeh et al.· Automation· 0 citations
APO-DRL (Adaptive Protocol Optimization using Deep Reinforcement Learning), a framework that utilizes a Dueling Double Deep Q-Network combined with a Prioritized Experience Replay mechanism for intelligent, real-time communication protocol selection and parameter optimization in heterogeneous IoT networks, is presented...
Saddam K. Alwane, Shereen S. Jumaa, M. Saleh et al.· IoT· 0 citations
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