Hierarchical maximum likelihood identification based on Levenberg–Marquardt and particle swarm optimization for feedback nonlinear systems
Author:
Affiliation:
1. School of Electrical Engineering, Nantong University, Nantong, P.R. China
2. School of Information Science and Technology, Nantong University, Nantong, P.R. China
Abstract
Publisher
SAGE Publications
Subject
Mechanical Engineering,Control and Systems Engineering
Link
http://journals.sagepub.com/doi/pdf/10.1177/09596518231165348
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1. Linear parameter-varying systems identification with slowly sampled outputs subjected to unknown time-delays and outliers
2. Performance analysis of estimation algorithms of nonstationary ARMA processes
3. Parameter estimation of dual-rate stochastic systems by using an output error method
4. Three‐stage forgetting factor stochastic gradient parameter estimation methods for a class of nonlinear systems
5. Nonlinear innovation identification of ship response model via the hyperbolic tangent function
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