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

Yung-Yu Chen, Bor Sen Chen

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages708-711
Number of pages4
Publication statusPublished - 2001 Dec 1
Event10th IEEE International Conference on Fuzzy Systems - Melbourne, Australia
Duration: 2001 Dec 22001 Dec 5

Other

Other10th IEEE International Conference on Fuzzy Systems
CountryAustralia
CityMelbourne
Period01-12-0201-12-05

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All Science Journal Classification (ASJC) codes

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

Cite this

Chen, Y-Y., & Chen, B. S. (2001). Adaptive fuzzy solution of Hamilton-Jacobi partial differential inequality and its application to H nonlinear control. 708-711. Paper presented at 10th IEEE International Conference on Fuzzy Systems, Melbourne, Australia.