Iancu, I., Colhon, M. and Dupac, M., 2010. A Fuzzy Controller with Various T-norms Applied in Robot Navigation. WSEAS Transactions on Systems and Control, 5 (11), pp. 882-891.
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Official URL: http://www.worldses.org/journals/control/control-2...
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 subspaces 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.
|Additional Information:||The World Scientific and Engineering Academy and Society|
|Subjects:||Technology > Engineering > Electrical and Electronic Engineering|
Technology > Engineering > General Engineering
|Group:||School of Design, Engineering & Computing > Design Simulation Research Centre|
|Deposited By:||Dr. Mihai Dupac|
|Deposited On:||08 Jun 2011 15:11|
|Last Modified:||07 Mar 2013 15:46|
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