Abstract
In this work it is presented the design of a decentralized adaptive fuzzy control. In this scheme it is suppose a system with unknown parameters and on-line fuzzy identifier, which uses an adaptive law to adjust the unknown parameters in order to build a model of an assumed unknown nonlinear system. The applicability of the proposed approach is illustrated via simulations by trajectory tracking control of a two degrees-of-freedom robot manipulator. © 2014 Springer International Publishing Switzerland.
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CITATION STYLE
Canul, R. C., Garcia-Hernandez, R., Rullan-Lara, J. L., & Llama, M. A. (2014). Decentralized adaptive fuzzy control applied to a robot manipulator. In Studies in Fuzziness and Soft Computing (Vol. 312, pp. 123–135). Springer Verlag. https://doi.org/10.1007/978-3-319-03674-8_12
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