Funder
the National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Reference141 articles.
1. S. An, Y. He, L.J. Wang, Maximum likelihood based multi-innovation stochastic gradient identification algorithms for bilinear stochastic systems with ARMA noise. Int. J. Adapt. Control Signal Process. 37(10), 2690–2705 (2023)
2. Y. Bai, B. Yan, C. Zhou, T. Su, X. Jin, State of art on state estimation: Kalman filter driven by machine learning. Annu. Rev. Control 56, 100909 (2023)
3. P. Bernard, V. Andrieu, D. Astolfi, Observer design for continuous-time dynamical systems. Annu. Rev. Control 53, 224–248 (2022)
4. Y.Q. Bi, Y. Ji, Parameter estimation of fractional-order Hammerstein state space system based on the extended Kalman filter. Int. J. Adapt. Control Signal Process. 37(7), 1827–1846 (2023)
5. Y. Cao, Y. An, S. Su et al., A statistical study of railway safety in China and Japan 1990–2020. Accid. Anal. Prevent. 175, 106764 (2022)
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