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Output Feedback Stabilization of Stochastic Non-holonomic Mobile Robots

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Proceedings of 2016 Chinese Intelligent Systems Conference (CISC 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 405))

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Abstract

We discussed the output feedback stabilization of stochastic non-holonomic mobile robots. Output feedback controllers are given with backstepping method. So, the original closed-loop system can be stabilized in probability based on provided switching control strategy. In the end, we give an example to explain these results.

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Acknowledgment

This paper is partially supported by the National Natural Science Foundation (no. 61503262) and Natural Science Foundation of Hebei Province of China (no. A2014106035).

Author information

Authors and Affiliations

  1. School of Mathematics and Information Science, Shijiazhuang University, Hebei, 050035, China

    Wenli Feng, Hongmei Zhang & Dongkai Zhang

  2. Management Center of China Post Online College, Shijiazhuang Posts and Telecommunications Technical College, Hebei, 050021, China

    Hongyu Wei

Authors
  1. Wenli Feng
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  2. Hongyu Wei
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  3. Hongmei Zhang
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  4. Dongkai Zhang
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Corresponding author

Correspondence to Wenli Feng .

Editor information

Editors and Affiliations

  1. Beihang University , Beijing, China

    Yingmin Jia

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Junping Du

  3. University of Science and Technology Beijing, Beijing, China

    Weicun Zhang

  4. Tsinghua University , Beijing, China

    Hongbo Li

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Feng, W., Wei, H., Zhang, H., Zhang, D. (2016). Output Feedback Stabilization of Stochastic Non-holonomic Mobile Robots. In: Jia, Y., Du, J., Zhang, W., Li, H. (eds) Proceedings of 2016 Chinese Intelligent Systems Conference. CISC 2016. Lecture Notes in Electrical Engineering, vol 405. Springer, Singapore. https://doi.org/10.1007/978-981-10-2335-4_12

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  • DOI: https://doi.org/10.1007/978-981-10-2335-4_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2334-7

  • Online ISBN: 978-981-10-2335-4

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