Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise حسب Saab, Samer S.

"…This work also provides a recursive algorithm that generates the appropriate learning gain functions that meet the arbitrary high precision output tracking objective. …"
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An improved kernelization algorithm for r-Set Packing حسب Abu-Khzam, Faisal N.

"…Such parameterized reductions are known as kernelization algorithms, and a reduced instance is called a problem kernel. …"
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Shuffled Linear Regression with Erroneous Observations حسب Saab, Samer S.

"…The proposed algorithm aims for per-iteration minimization of the mean square estimate error. …"
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Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity حسب Maryam Shahriari-kahkeshi (17269051)

"…Simulation and comparison results demonstrate the effectiveness of the proposed algorithm.</p><h2>Other Information</h2><p dir="ltr">Published in: Neurocomputing<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.neucom.2021.08.065" target="_blank">https://dx.doi.org/10.1016/j.neucom.2021.08.065</a></p>…"

A quadratic kernel for 3-set packing حسب Abu-Khzam, Faisal N.

"…Such parameterized reductions are known as kernelization algorithms, and each reduced instance is called a problem kernel. …"
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Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems حسب Sadjadi, Hossein

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The architecture of a highly reconfigurable RISC dataflow array processor حسب Sait, Sadiq M.

"…The array can be programmed to execute arbitrary algorithms in both static and dynamic manner. …"
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Metaheuristic Optimization‐Based Sliding Mode Control With Modified Perturb and Observe for Controlling MPPT of a PV Interfaced Grid Connected System حسب Anupama Ganguly (22502969)

"…Results depict that the proposed algorithm outperforms in every aspect and also justify the robustness of SMC. …"