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Fuzzy Information and Engineering pp 24–32Cite as

Autonomous Mobile Intelligent Robots on Fuzzy System with Optimal Theories

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Part of the book series: Advances in Soft Computing ((AINSC,volume 54))

Abstract

A dynamical model for autonomous mobile intelligent robots is presented. Based on the local information of the swarm, a fuzzy logical controller (FLC) of the attraction/ repulsion function is built. Combining with the rate consensus algorithm, the swarming of the separation, cohesion and alignment is achieved. Based on the optimal controller theories, a performance target is used to measure the states of the system. By applying the connected network from the individual local perceived information, the aggregation of the multi-agent systems can swarm following a whole consensus in the computer simulation.

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Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Ludong University, Yantai, 264025, China

    Hong-yong Yang & Fu-zeng Zhang

Authors
  1. Hong-yong Yang
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  2. Fu-zeng Zhang
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Editor information

Editors and Affiliations

  1. Guangzhou Higher Education Mega Center, Guangzhou University, 230Wai Huan Xi Road, 510006, China

    Bing-yuan Cao

  2. Department of Mathematics, Hainan Normal University, Haikou, 571158, Hainan, P.R. China

    Cheng-yi Zhang

  3. Department of Electronic Information Engineering, Chongqing University of Science & Technology, 401331, Chongqing

    Tai-fu Li

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© 2009 Springer-Verlag Berlin Heidelberg

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Yang, Hy., Zhang, Fz. (2009). Autonomous Mobile Intelligent Robots on Fuzzy System with Optimal Theories. In: Cao, By., Zhang, Cy., Li, Tf. (eds) Fuzzy Information and Engineering. Advances in Soft Computing, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88914-4_4

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  • DOI: https://doi.org/10.1007/978-3-540-88914-4_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88913-7

  • Online ISBN: 978-3-540-88914-4

  • eBook Packages: EngineeringEngineering (R0)

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