Velázquez-Sánchez, R.D.; Escobedo-Alva, J.O.; Peña-García, R.; Tapia-Herrera, R.; Meda-Campaña, J.A. Identification of High-Order Nonlinear Coupled Systems Using a Data-Driven Approach. Appl. Sci.2024, 14, 3864.
Velázquez-Sánchez, R.D.; Escobedo-Alva, J.O.; Peña-García, R.; Tapia-Herrera, R.; Meda-Campaña, J.A. Identification of High-Order Nonlinear Coupled Systems Using a Data-Driven Approach. Appl. Sci. 2024, 14, 3864.
Velázquez-Sánchez, R.D.; Escobedo-Alva, J.O.; Peña-García, R.; Tapia-Herrera, R.; Meda-Campaña, J.A. Identification of High-Order Nonlinear Coupled Systems Using a Data-Driven Approach. Appl. Sci.2024, 14, 3864.
Velázquez-Sánchez, R.D.; Escobedo-Alva, J.O.; Peña-García, R.; Tapia-Herrera, R.; Meda-Campaña, J.A. Identification of High-Order Nonlinear Coupled Systems Using a Data-Driven Approach. Appl. Sci. 2024, 14, 3864.
Abstract
Most works related to the identification of mathematical nonlinear systems make one suppose that such approaches can always be directly applied to any nonlinear system. This misconception produces a great deal of discouragement when the obtained results are not the expected ones. Thus, the current work hypothesizes that the most information one has about the mathematical structure of the model, the most precise the identification result should be. Therefore, a variant of the Sparse Identification of Nonlinear Dynamics (SINDY) approach is presented to obtain the full mathematical nonlinear model of a high-order system with coupled dynamics, namely, a commercial quadcopter. Furthermore, due to its high sensitivity to inputs, a control system is devised using the identified model to stabilize the quadcopter. This illustrates the effectiveness of the proposed identification method.
Keywords
Sparse identification of nonlinear dynamics; high-order systems; coupled dynamics.
Subject
Engineering, Control and Systems Engineering
Copyright:
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