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Direct adaptive control for nonlinear systems using a TSK fuzzy echo state network based on fractional-order learning algorithm
Research article (Journal of the Franklin Institute, 2021) · cited 21× · AI/ML
Direct adaptive control for nonlinear systems using a TSK fuzzy echo state network based on fractional-order learning algorithm
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Direct adaptive control for nonlinear systems using a TSK fuzzy echo state network based on fractional-order learning algorithm is a scholarly article[1].
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Direct adaptive control for nonlinear systems using a TSK fuzzy echo state network based on fractional-order learning algorithm's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Direct adaptive control for nonlinear systems using a TSK fuzzy echo state network based on fractional-order learning algorithm. Retrieved May 24, 2026, from https://4ort.xyz/entity/direct-adaptive-control-for-nonlinear-systems-using-a-tsk-fuzzy-echo-state-network-based-on-fractional-order-learning-al
MLA“Direct adaptive control for nonlinear systems using a TSK fuzzy echo state network based on fractional-order learning algorithm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/direct-adaptive-control-for-nonlinear-systems-using-a-tsk-fuzzy-echo-state-network-based-on-fractional-order-learning-al.
BibTeX@misc{4ortxyz_direct-adaptive-control-for-nonlinear-systems-using-a-tsk-fuzzy-echo-state-network-based-on-fractional-order-learning-al_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Direct adaptive control for nonlinear systems using a TSK fuzzy echo state network based on fractional-order learning algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/direct-adaptive-control-for-nonlinear-systems-using-a-tsk-fuzzy-echo-state-network-based-on-fractional-order-learning-al}, note = {Accessed: 2026-05-24}}
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