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RBF neural network backstepping sliding mode adaptive control for dynamic pressure cylinder electrohydraulic servo pressure system

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Publication:1723104
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DOI10.1155/2018/4159639zbMath1407.93015OpenAlexW2902302194WikidataQ128828367 ScholiaQ128828367MaRDI QIDQ1723104

Liangcai Zeng, Yang Liu, Pan Deng

Publication date: 19 February 2019

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/4159639



Mathematics Subject Classification ID

Application models in control theory (93C95) Adaptive control/observation systems (93C40) Decentralized systems (93A14)


Related Items (2)

Distributed cooperative sliding mode fault-tolerant control for multiple high-speed trains based on actor-critic neural network ⋮ Output feedback adaptive dynamic surface sliding-mode control for quadrotor UAVs with tracking error constraints




Cites Work

  • Hybrid feedback feedforward: an efficient design of adaptive neural network control
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