Learn the Lagrangian: A Vector-Valued RKHS Approach to Identifying Lagrangian Systems.

IEEE Transactions on Cybernetics(2016)

引用 18|浏览14
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摘要
We study the modeling of Lagrangian systems with multiple degrees of freedom. Based on system dynamics, canonical parametric models require ad hoc derivations and sometimes simplification for a computable solution; on the other hand, due to the lack of prior knowledge in the system's structure, modern nonparametric models in machine learning face the curse of dimensionality, especially in learning...
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关键词
Kernel,Yttrium,Computational modeling,Hilbert space,Mathematical model,Analytical models,Correlation
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