A neural network sliding mode method for nonlinear motors

DOI10.1002/OCA.2940OpenAlexW4299878830MaRDI QIDQ6054515

Hongbo Zou, Unnamed Author

Publication date: 25 October 2023

Published in: Optimal Control Applications and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/oca.2940

zbMATH Keywords

neural networknonlinearrandom noiseexternal disturbancesliding mode theory

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Nonlinear systems in control theory (93C10) Perturbations in control/observation systems (93C73) Variable structure systems (93B12)

Cites Work

• Finite-time estimator with enhanced robustness and transient performance applied to adaptive problems
• A bio-inspired trajectory planning method for robotic manipulators based on improved bacteria foraging optimization algorithm and tau theory
• Optimal control for uncertain random singular systems with multiple time-delays
• Application of a novel adaptive sliding mode control method to the load frequency control
• Adaptive finite‐time event‐triggered control for nonlinear systems with quantized input signals

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