Sparse parameter identification of stochastic dynamical systems
Wenxiao Zhao
Key Laboratory of Systems and Control,Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,China;School of Mathematical Sciences,University of Chinese Academy of Sciences,Beijing 100049,China
摘要：Sparsity of a parameter vector in stochastic dynamic systems and precise reconstruction of its zero and nonzero elements appear in many areas including systems and control [1–4], signal processing [5,6], statistics [7,8], and machine learn-ing [9,10] since it provides a way to discover a parsimonious model that leads to more reliable and robust prediction.
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论文发表日期：2022-02-05
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：3( 139-141 )