Stochastic fuzzy servo control using multiple linear dynamic models

Keigo Watanabe, Kiyotaka Izumi, Fuha Han

Research output: Contribution to conferencePaper

Abstract

A fuzzy servo system is described for a system with noises by using a stochastic fuzzy control method with some linear dynamic models. The present fuzzy servo approach is applied to the control of rotational angle for an omnidirectional mobile robot with three orthogonal-wheel assemblies. The stochastic fuzzy servo method and its modified method with a static evaluation on the model confidence are implemented for some simulations of the mobile robot. In particular, two improvement methods are shown for the case when a set of the prespecified linear models does not include a model comparable to the reference rotational angle.

Original languageEnglish
Pages474-482
Number of pages9
Publication statusPublished - Dec 1 1998
EventProceedings of the 1998 2nd International Conference on knowledge-Based Intelligent Electronic Systems (KES '98) - Adelaide, Aust
Duration: Apr 21 1998Apr 23 1998

Other

OtherProceedings of the 1998 2nd International Conference on knowledge-Based Intelligent Electronic Systems (KES '98)
CityAdelaide, Aust
Period4/21/984/23/98

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ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Watanabe, K., Izumi, K., & Han, F. (1998). Stochastic fuzzy servo control using multiple linear dynamic models. 474-482. Paper presented at Proceedings of the 1998 2nd International Conference on knowledge-Based Intelligent Electronic Systems (KES '98), Adelaide, Aust, .