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Trajectory planning-based control of underactuated wheeled inverted pendulum robots

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References

  1. Yang C G, Li Z J, Li J. Trajectory planning and optimized adaptive control for a class of wheeled inverted pendulum vehicle models. IEEE Trans Cybern, 2013, 43: 24–36

    Article  Google Scholar 

  2. Li Z, Yang C. Neural-adaptive output feedback control of a class of transportation vehicles based on wheeled inverted pendulum models. IEEE Trans Contr Syst Technol, 2012, 20: 1583–1591

    Article  Google Scholar 

  3. Yang C, Jiang Y, He W, et al. Adaptive parameter estimation and control design for robot manipulators with finite-time convergence. IEEE Trans Ind Electron, 2018, 65: 8112–8123

    Article  Google Scholar 

  4. Xu B, Shi Z K. An overview on flight dynamics and control approaches for hypersonic vehicles. Sci China Inf Sci, 2015, 58: 070201

    MathSciNet  Google Scholar 

  5. Sun N, Wu Y, Fang Y, et al. Nonlinear antiswing control for crane systems with double-pendulum swing effects and uncertain parameters: design and experiments. IEEE Trans Automat Sci Eng, 2018, 15: 1413–1422

    Article  Google Scholar 

  6. Sun N, Yang T, Fang Y, et al. Transportation control of double-pendulum cranes with a nonlinear quasi-PID scheme: design and experiments. IEEE Trans Syst Man Cybern Syst, 2018. doi: 10.1109/TSMC.2018.2871627

    Google Scholar 

  7. Ye W, Li Z, Yang C, et al. Vision-based human tracking control of a wheeled inverted pendulum robot. IEEE Trans Cybern, 2016, 46: 2423–2434

    Article  Google Scholar 

  8. Xu J X, Guo Z Q, Lee T H. Design and implementation of integral sliding-mode control on an underactuated two-wheeled mobile robot. IEEE Trans Ind Electron, 2014, 61: 3671–3681

    Article  Google Scholar 

  9. Yue M, An C, Du Y, et al. Indirect adaptive fuzzy control for a nonholonomic/underactuated wheeled inverted pendulum vehicle based on a data-driven trajectory planner. Fuzzy Sets Syst, 2016, 290: 158–177

    Article  MathSciNet  MATH  Google Scholar 

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61873134, 61503200), the Young Elite Scientists Sponsorship Program of Tianjin (Grant No. TJSQNTJ-2017-02), and the China Postdoctoral Science Foundation (Grant Nos. 2017T100153, 2016M600186).

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Authors and Affiliations

  1. Institute of Robotics and Automatic Information Systems (IRAIS), Tianjin Key Laboratory of Intelligent Robotics (tjKLIR), Nankai University, Tianjin, 300350, China

    Dingkun Liang, Ning Sun, Yiming Wu & Yongchun Fang

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  1. Dingkun Liang
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  2. Ning Sun
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  3. Yiming Wu
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  4. Yongchun Fang
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Corresponding author

Correspondence to Ning Sun.

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Liang, D., Sun, N., Wu, Y. et al. Trajectory planning-based control of underactuated wheeled inverted pendulum robots. Sci. China Inf. Sci. 62, 50207 (2019). https://doi.org/10.1007/s11432-018-9623-3

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  • DOI: https://doi.org/10.1007/s11432-018-9623-3

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