An efficient identification approach for highly complex non-linear systems using the evolutionary computing method based Kalman filter

Research article (AEU - International Journal of Electronics and Communications, 2021) · cited 18× · AI/ML
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An efficient identification approach for highly complex non-linear systems using the evolutionary computing method based Kalman filter

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An efficient identification approach for highly complex non-linear systems using the evolutionary computing method based Kalman filter is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient identification approach for highly complex non-linear systems using the evolutionary computing method based Kalman filter. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-identification-approach-for-highly-complex-non-linear-systems-using-the-evolutionary-computing-method-based
MLA “An efficient identification approach for highly complex non-linear systems using the evolutionary computing method based Kalman filter.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-identification-approach-for-highly-complex-non-linear-systems-using-the-evolutionary-computing-method-based.
BibTeX @misc{4ortxyz_an-efficient-identification-approach-for-highly-complex-non-linear-systems-using-the-evolutionary-computing-method-based_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient identification approach for highly complex non-linear systems using the evolutionary computing method based Kalman filter}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-identification-approach-for-highly-complex-non-linear-systems-using-the-evolutionary-computing-method-based}, note = {Accessed: 2026-05-24}}
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