Adaptive fuzzy solution of Hamilton-Jacobi partial differential inequality and its application to H nonlinear control

Yung-Yu Chen, Bor Sen Chen

研究成果: Paper同行評審

2 引文 斯高帕斯(Scopus)

摘要

An adaptive fuzzy control approach based on solving Hamilton-Jacobi partial differential inequality (HJPDI) is proposed for the nonlinear H control problem, which is commonly encountered in the nonlinear robust control system analysis and design. The solution of Hamilton-Jacobi partial differential inequality is approximated using adaptive fuzzy on-line learning along the dynamic trajectories of the closed-loop system.

原文English
頁面708-711
頁數4
出版狀態Published - 2001 十二月 1
事件10th IEEE International Conference on Fuzzy Systems - Melbourne, Australia
持續時間: 2001 十二月 22001 十二月 5

Other

Other10th IEEE International Conference on Fuzzy Systems
國家Australia
城市Melbourne
期間01-12-0201-12-05

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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