A novel dynamic recurrent functional link neural network-based identification of nonlinear systems using Lyapunov stability analysis

Research article (Neural Computing and Applications, 2020) · cited 43× · AI/ML
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A novel dynamic recurrent functional link neural network-based identification of nonlinear systems using Lyapunov stability analysis

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A novel dynamic recurrent functional link neural network-based identification of nonlinear systems using Lyapunov stability analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A novel dynamic recurrent functional link neural network-based identification of nonlinear systems using Lyapunov stability analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-dynamic-recurrent-functional-link-neural-network-based-identification-of-nonlinear-systems-using-lyapunov-stabil
MLA “A novel dynamic recurrent functional link neural network-based identification of nonlinear systems using Lyapunov stability analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-dynamic-recurrent-functional-link-neural-network-based-identification-of-nonlinear-systems-using-lyapunov-stabil.
BibTeX @misc{4ortxyz_a-novel-dynamic-recurrent-functional-link-neural-network-based-identification-of-nonlinear-systems-using-lyapunov-stabil_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel dynamic recurrent functional link neural network-based identification of nonlinear systems using Lyapunov stability analysis}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-dynamic-recurrent-functional-link-neural-network-based-identification-of-nonlinear-systems-using-lyapunov-stabil}, note = {Accessed: 2026-05-24}}
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