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• W2129031775 abstract "In this paper, we consider the decentralized adaptive control design problem for uncertain mechanical systems, where uncertainty may arise due to isolated subsystem and/or interconnections among subsystems. Radial basis function neural networks are used to approximate the nonlinear functions to include both dynamic and interconnection uncertainties in each subsystem. The stability of the thus designed control system can be guaranteed by a rigid proof. Finally, a simulation example is given to illustrate the effectiveness of the proposed algorithm." @default.
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• W2129031775 date "2007-09-01" @default.
• W2129031775 modified "2023-10-02" @default.
• W2129031775 title "Adaptive Control of Mechanical Systems Using Neural Networks" @default.
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• W2129031775 doi "https://doi.org/10.1109/tsmcc.2007.900660" @default.
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