Adaptive Neuro Fuzzy Control of Triple Inverted Pendulum System
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0969-8_28
Reference15 articles.
1. Ananevskii IM (2018) The control of a three-link inverted pendulum near the equilibrium point. Mech Solids 53:16–21. https://doi.org/10.3103/S0025654418030020
2. Furut K, Ochiai T, Ono N (1984) Attitude control of a triple inverted pendulum. Int J Control 39(6):1351–1365. https://doi.org/10.1080/00207178408933251
3. Chen W, Theodomile N (2016) Simulation of a Triple inverted pendulum based on fuzzy controller. World J Eng Technol 4(2):267–272. https://doi.org/10.4236/wjet.2016.42026
4. Huang X, Wen F, Wei Z (2018) Optimization of triple inverted pendulum control process based on motion vision. EURASIP J Image Video Process 73:1–8. https://doi.org/10.1186/s13640-018-0294-6
5. Arkhipova IM (2019) On stabilization of a triple inverted pendulum via vibration of a support with an arbitrary frequency. Vestnik St. Petersburg University, Mathematics 52:194–198. https://doi.org/10.1134/S1063454119020031
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