Immersion and invariance stabilization of strict-feedback dynamics under sampling

详细信息    查看全文

• 作者：Mattia Mattioni^a ; ^b ; ^{mattia.mattioni@l2s.centralesupelec.fr}Author Vitae ; Salvatore Monaco^a ; ^{salvatore.monaco@uniroma1.it}Author Vitae ; Dorothé ; e Normand-Cyrot^b ; ^{cyrot@lss.supelec.fr}Author Vitae
• 关键词：Asymptotic stabilization ; Digital implementation ; Sampled-data stabilization ; Nonlinear systems
• 刊名：Automatica
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：76
• 期：Complete
• 页码：78-86
• 全文大小：1120 K
• 卷排序：76

文摘

The paper deals with sampled-data stabilization of continuous-time dynamics in strict-feedback form via Immersion and Invariance. Starting from the characterization of the sampled-data target dynamics and its invariant manifold, a multi-rate control law is designed to achieve attractiveness and invariance of such a manifold. Simulations on an academic example and a practical case illustrate the performances.