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The filtering based auxiliary model generalized extended stochastic gradient identification for a multivariate output-error system with autoregressive moving average noise using the multi-innovation theory.

, , , and . J. Frankl. Inst., 357 (9): 5591-5609 (2020)

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Auxiliary models based multi-innovation gradient identification with colored measurement noises., , and . ICRA, page 448-452. IEEE, (2009)Gradient-Based Recursive Identification Methods for Input Nonlinear Equation Error Closed-Loop Systems., , , and . CSSP, 36 (5): 2166-2183 (2017)Process variability and inherent efficiency enhancement in industrial processes: Two case studies in pulp and paper industry., and . CCA, page 1262-1269. IEEE, (2011)Decomposition-Based Gradient Estimation Algorithms for Multivariate Equation-Error Autoregressive Systems Using the Multi-innovation Theory., , , and . CSSP, 37 (5): 1846-1862 (2018)Parameter estimation for a special class of nonlinear systems by using the over-parameterisation method and the linear filter., , , , and . Int. J. Systems Science, 50 (9): 1689-1702 (2019)Dynamic Task Assignment and Path Planning for Multi-AUV System in Variable Ocean Current Environment., , and . Journal of Intelligent and Robotic Systems, 74 (3-4): 999-1012 (2014)Performance Analysis of the Auxiliary Model-Based Stochastic Gradient Parameter Estimation Algorithm for State-Space Systems with One-Step State Delay., and . CSSP, 32 (2): 585-599 (2013)Convergence Analysis of the Hierarchical Least Squares Algorithm for Bilinear-in-Parameter Systems., , , and . CSSP, 35 (12): 4307-4330 (2016)Performance analysis of multi-innovation gradient type identification methods., and . Autom., 43 (1): 1-14 (2007)Parameter estimation with scarce measurements., , and . Autom., 47 (8): 1646-1655 (2011)