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Adaptive T–S fuzzy controller using reinforcement learning based on Lyapunov stability

Research article (Journal of the Franklin Institute, 2018) · cited 31× · AI/ML
academia openalex:W2861704755
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Adaptive T–S fuzzy controller using reinforcement learning based on Lyapunov stability

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Adaptive T–S fuzzy controller using reinforcement learning based on Lyapunov stability is a scholarly article[1].

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  • Adaptive T–S fuzzy controller using reinforcement learning based on Lyapunov stability's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Adaptive T–S fuzzy controller using reinforcement learning based on Lyapunov stability. Retrieved May 24, 2026, from https://4ort.xyz/entity/adaptive-ts-fuzzy-controller-using-reinforcement-learning-based-on-lyapunov-stability
MLA “Adaptive T–S fuzzy controller using reinforcement learning based on Lyapunov stability.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/adaptive-ts-fuzzy-controller-using-reinforcement-learning-based-on-lyapunov-stability.
BibTeX @misc{4ortxyz_adaptive-ts-fuzzy-controller-using-reinforcement-learning-based-on-lyapunov-stability_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Adaptive T–S fuzzy controller using reinforcement learning based on Lyapunov stability}}, year = {2026}, url = {https://4ort.xyz/entity/adaptive-ts-fuzzy-controller-using-reinforcement-learning-based-on-lyapunov-stability}, note = {Accessed: 2026-05-24}}
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