Parameter estimation and controller design for dynamic systems from the step responses based on the Newton iteration
By Ling Xu, Lei Chen, Weili Xiong. 2015
254 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/7bc2d6090468d771f684574685f05726568c6344
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In Control and Systems Engineering
In Mechanical Engineering
Citations in the corpus
- Maximum likelihood hierarchical least squares‐based iterative identification for dual‐rate stochastic systems (2020, methodology): “Minimizing the quadratic criterion functions J2(τ) in (42) and J3(ρ) in (43), respectively, and letting their partial derivative with respect to τ and ρ at the point ?̂?ML and ?̂?ML be zero give ∂J2(τ) ∂τ |||?̂?ML = ∂V(Lh) ∂τ |||?̂?ML V(Lh) = 0, (44) ∂J3(ρ) ∂ρ |||?̂?ML = ∂V(Lh) ∂ρ |||?̂?ML V(Lh) = 0”
- Hierarchical recursive least squares algorithms for Hammerstein nonlinear autoregressive output‐error systems (2021, unknown): “L(t) = P(t − 1)?̂?(t) 1 + ?̂?(t)P(t − 1)?̂?(t) , P(0) = p0IM , (63) P(t) = [I − L(t)?̂?(t)]P(t − 1), (64) ?̂?(t) = [ξz (t), ?̂? T xq(t), ?̂? T pg(t)], (65) ξz(t) = [−s(t − 1),−s(t − 2), .”