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• W3011641 abstract "This paper extends the results previously obtained for trajectory tracking of unknown plants using recurrent neural networks. The proposed controller structure is composed of a neural identifier and a control law defined by using the inverse optimal control approach, which has been improved so that less inputs than states are needed. The proposed new control scheme is applied to the control a robotic manipulator model." @default.
• W3011641 created "2016-06-24" @default.
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• W3011641 date "2002-01-01" @default.
• W3011641 modified "2023-09-26" @default.
• W3011641 title "RECURRENT NEURAL CONTROL FOR ROBOT TRAJECTORY TRACKING" @default.
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• W3011641 doi "https://doi.org/10.3182/20020721-6-es-1901.00700" @default.
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