Embedded adaptive fuzzy controller based on reinforcement learning for DC motor with flexible shaft
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Publication:1637893
DOI10.1007/s13369-015-1752-4zbMath1390.93475OpenAlexW762392858MaRDI QIDQ1637893
A. Aziz Khater, Nabila M. El-Rabaie, Mohammad El-Bardini
Publication date: 11 June 2018
Published in: Arabian Journal for Science and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s13369-015-1752-4
DC motorarduino DUE boardfuzzy PID (FPID) controllerH-bridgeincremental encoderreinforcement Q-learning
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Cites Work
- Unnamed Item
- Reinforcement learning algorithms with function approximation: recent advances and applications
- Reinforcement distribution in fuzzy Q-learning
- Practical design of nonlinear fuzzy controllers with stability analysis for regulating processes with unknown mathematical models
- A PID type fuzzy controller with self-tuning scaling factors
- Analytical structures and analysis of the simplest fuzzy PI controllers
- Interval type-2 fuzzy PID controller: analytical structures and stability analysis
- Parallel structure and tuning of a fuzzy PID controller
- Reinforcement Learning and Feedback Control: Using Natural Decision Methods to Design Optimal Adaptive Controllers
