A takagi-sugeno type controller for mobile robot navigation

This source preferred by Mihai Dupac

Authors: Iancu, I., Ghindeanu, M. and Dupac, M.

Editors: Grigoriu, M., Mladenov, V., Bulucea, C.A., Martin, O. and Mastorakis, N.

http://www.wseas.us/conferences/2010/bucharest/ci/index.html

Pages: 29-35

Publisher: WSEAS Press

Place of Publication: US

ISBN: 978-960-474-179-3

Fuzzy set theory and fuzzy logic are the convenient tools for handling uncertain, imprecise, or unmodeled data in intelligent decision-making systems. The utility of fuzzy logic in system controls domain is presented in the context of a mobile robot navigation control application. The Takagi-Sugeno controller is a fuzzy model capable of approximating a wide class of nonlinear systems by decomposing the input space into several partial fuzzy spaces and representing the output space with a linear equation. The output control action is obtained from the rule-base and a set of crisp inputs. A Takagi-Sugeno type Fuzzy Logic Controller (FLC), to work with crisp data, intervals and fuzzy sets inputs, is proposed in connection with a mobile robot navigation model. The model also works with a set of t-norms, and for any t-norm an output value is obtained. Finally, these outputs are combined to obtain the overall output of the system.

This data was imported from Scopus:

Authors: Iancu, I., Colhon, M. and Dupac, M.

Pages: 29-34

ISBN: 9789604741786

Fuzzy set theory and fuzzy logic are the convenient tools for handling uncertain, imprecise, or unmodeled data in intelligent decision-making systems. The utility of fuzzy logic in system controls domain is presented in the context of a mobile robot navigation control application. The Takagi-Sugeno controller is a fuzzy model capable of approximating a wide class of nonlinear systems by decomposing the input space into several partial fuzzy spaces and representing the output space with a linear equation. The output control action is obtained from the rule-base and a set of crisp inputs. A Takagi-Sugeno type Fuzzy Logic Controller (FLC), to work with crisp data, intervals and fuzzy sets inputs, is proposed in connection with a mobile robot navigation model. The model also works with a set of t-norms, and for any t-norm an output value is obtained. Finally, these outputs are combined to obtain the overall output of the system.

The data on this page was last updated at 04:42 on September 25, 2017.