Neuron-adaptive PID based speed control of SCSG wind turbine system

DOI10.1155/2014/376259zbMath1406.93234OpenAlexW2167847226WikidataQ59036830 ScholiaQ59036830MaRDI QIDQ1723958

Lei Wang, Shan Zuo, Zheng Zhou, Yong-Duan Song

Publication date: 14 February 2019

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/376259

zbMATH Keywords

neuron-adaptive PID based speed controlwind turbine system

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Application models in control theory (93C95) Adaptive control/observation systems (93C40) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (1)

PID controller parameters adjustment using a single memory neuron

Cites Work

• Variable torque control of offshore wind turbine on Spar floating platform using advanced RBF neural network
• Sliding mode control with bounded \(\mathcal L_2\) gain performance of Markovian jump singular time-delay systems
• Data-driven monitoring for stochastic systems and its application on batch process
• Output Feedback Control of Markovian Jump Repeated Scalar Nonlinear Systems

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