Sliding Window Iterative Identification for Nonlinear Closed‐Loop Systems Based on the Maximum Likelihood Principle

Research article (International Journal of Robust and Nonlinear Control, 2024) · cited 18× · AI/ML
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Sliding Window Iterative Identification for Nonlinear Closed‐Loop Systems Based on the Maximum Likelihood Principle

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Sliding Window Iterative Identification for Nonlinear Closed‐Loop Systems Based on the Maximum Likelihood Principle is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Sliding Window Iterative Identification for Nonlinear Closed‐Loop Systems Based on the Maximum Likelihood Principle. Retrieved May 24, 2026, from https://4ort.xyz/entity/sliding-window-iterative-identification-for-nonlinear-closedloop-systems-based-on-the-maximum-likelihood-principle
MLA “Sliding Window Iterative Identification for Nonlinear Closed‐Loop Systems Based on the Maximum Likelihood Principle.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sliding-window-iterative-identification-for-nonlinear-closedloop-systems-based-on-the-maximum-likelihood-principle.
BibTeX @misc{4ortxyz_sliding-window-iterative-identification-for-nonlinear-closedloop-systems-based-on-the-maximum-likelihood-principle_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sliding Window Iterative Identification for Nonlinear Closed‐Loop Systems Based on the Maximum Likelihood Principle}}, year = {2026}, url = {https://4ort.xyz/entity/sliding-window-iterative-identification-for-nonlinear-closedloop-systems-based-on-the-maximum-likelihood-principle}, note = {Accessed: 2026-05-24}}
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