A reinforcement learning methodology to hierarchical sliding‐mode surface H∞ control of nonlinear systems via a dynamic event‐triggered mechanism

Research article (Asian Journal of Control, 2025) · cited 21× · AI/ML
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A reinforcement learning methodology to hierarchical sliding‐mode surface H∞ control of nonlinear systems via a dynamic event‐triggered mechanism

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A reinforcement learning methodology to hierarchical sliding‐mode surface H∞ control of nonlinear systems via a dynamic event‐triggered mechanism is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A reinforcement learning methodology to hierarchical sliding‐mode surface H∞ control of nonlinear systems via a dynamic event‐triggered mechanism. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-reinforcement-learning-methodology-to-hierarchical-slidingmode-surface-h-control-of-nonlinear-systems-via-a-dynamic-ev
MLA “A reinforcement learning methodology to hierarchical sliding‐mode surface H∞ control of nonlinear systems via a dynamic event‐triggered mechanism.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-reinforcement-learning-methodology-to-hierarchical-slidingmode-surface-h-control-of-nonlinear-systems-via-a-dynamic-ev.
BibTeX @misc{4ortxyz_a-reinforcement-learning-methodology-to-hierarchical-slidingmode-surface-h-control-of-nonlinear-systems-via-a-dynamic-ev_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A reinforcement learning methodology to hierarchical sliding‐mode surface H∞ control of nonlinear systems via a dynamic event‐triggered mechanism}}, year = {2026}, url = {https://4ort.xyz/entity/a-reinforcement-learning-methodology-to-hierarchical-slidingmode-surface-h-control-of-nonlinear-systems-via-a-dynamic-ev}, note = {Accessed: 2026-05-24}}
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