Particle swarm optimization iterative identification algorithm and gradient iterative identification algorithm for Wiener systems with colored noise
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Publication:1654314
DOI10.1155/2018/7353171zbMath1398.93346OpenAlexW2883667964WikidataQ129470754 ScholiaQ129470754MaRDI QIDQ1654314
Publication date: 8 August 2018
Published in: Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2018/7353171
Approximation methods and heuristics in mathematical programming (90C59) Nonlinear systems in control theory (93C10) Identification in stochastic control theory (93E12)
Related Items (5)
Weight least squares algorithm for rational models with outliers ⋮ Parameter estimation of Wiener systems based on the particle swarm iteration and gradient search principle ⋮ Deep neural network approach to forward-inverse problems ⋮ Hierarchical Newton iterative parameter estimation of a class of input nonlinear systems based on the key term separation principle ⋮ Identification of Wiener model with internal noise using a cubic spline approximation-Bayesian composite quantile regression algorithm
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