Maximum likelihood‐based gradient estimation for multivariable nonlinear systems using the multiinnovation identification theory

Research article (International Journal of Robust and Nonlinear Control, 2020) · cited 14× · AI/ML
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Maximum likelihood‐based gradient estimation for multivariable nonlinear systems using the multiinnovation identification theory

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Maximum likelihood‐based gradient estimation for multivariable nonlinear systems using the multiinnovation identification theory is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Maximum likelihood‐based gradient estimation for multivariable nonlinear systems using the multiinnovation identification theory. Retrieved May 24, 2026, from https://4ort.xyz/entity/maximum-likelihoodbased-gradient-estimation-for-multivariable-nonlinear-systems-using-the-multiinnovation-identification
MLA “Maximum likelihood‐based gradient estimation for multivariable nonlinear systems using the multiinnovation identification theory.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/maximum-likelihoodbased-gradient-estimation-for-multivariable-nonlinear-systems-using-the-multiinnovation-identification.
BibTeX @misc{4ortxyz_maximum-likelihoodbased-gradient-estimation-for-multivariable-nonlinear-systems-using-the-multiinnovation-identification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Maximum likelihood‐based gradient estimation for multivariable nonlinear systems using the multiinnovation identification theory}}, year = {2026}, url = {https://4ort.xyz/entity/maximum-likelihoodbased-gradient-estimation-for-multivariable-nonlinear-systems-using-the-multiinnovation-identification}, note = {Accessed: 2026-05-24}}
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