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Titlebook: Complex Systems and Their Applications; Fourth International Eric Campos-Cantón,Guillermo Huerta-Cuellar,Esteba Conference proceedings 2024

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https://doi.org/10.1007/978-3-662-28731-6o urban is applied in the Metropolitan Area of Toluca, covers the period 2016–2023, and a future prediction of the potential scenario of urban growth to the year 2030. The results show the potential for automating processes and analyzing changes that are useful for decision-making and intervention in planning and land management.
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LMI-Based Design of a Robust Affine Control Law for the Position Control of a Knee Exoskeleton Robotative analysis to assess the efficiency of these methods. As we conclude this research, we have fortified our findings with comprehensive simulations, which offer solid evidence of the effectiveness of our control law in achieving an efficient and robust stabilization of the knee exoskeleton robot.
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Classification of Chaotic Dynamics Through Time–Frequency Representations and Machine Learning classification of both the chaotic system and its state. This approach extends to multiclass classification, where we employ an error-correcting output codes approach to decompose complex tasks into simpler, binary problems, thereby enhancing both scalability and versatility, as indicated by the re
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Solving Inverse Kinematics Problem for Manipulator Robots Using Artificial Neural Network with Varieect geometrical equations. The training process of ANN is carried out by incorporating input–output datasets and compiling the MATLAB script file with tuned hyperparameters. From the numerical results, we found that the ANN technique can effectively compute the desired joint angles, a critical facto
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