Fuzzy Control Scheme for a Class of MIMO Systems with Uncertainties

• Han Hugang

  Dept. of Management and Info. Sci., Hiroshima Pref. University

抄録

Based on the Lyapunov synthesis approach and regarding the fuzzy systems as approximators to approximate the unknown functions in the system to be controlled, several adaptive fuzzy control schemes have been developed during the last decade. Actually, these schemes have been applied only to simple classes of nonlinear systems. In the concrete, (i) most of them just consider SISO systems (which can avoid the challenging of the coupling between control inputs); (ii) the upper bounds of uncertainties, and the reconstruction errors between the best approximators and their corresponding functions to be approximated are assumed to be known (in this way, the traditional adaptive methods or robust methods could be utilized straightforwardly). This paper develops a design methodology that expands the class of nonlinear systems to MIMO systems, the above restrictive assumptions can be relaxed by using an unique way to deal with the uncertainties and the reconstruction errors. The overall adaptive scheme is shown to guarantee the tracking error, between the outputs of system and the desired values, to be asymptotical in decay.

収録刊行物

• 電気学会論文誌Ｃ（電子・情報・システム部門誌）

  電気学会論文誌Ｃ（電子・情報・システム部門誌） 124 (4), 1012-1020, 2004

  一般社団法人 電気学会

キーワード

• Stability
• Lyapunov synthesis approach
• Fuzzy approximator
• Adaptive law

詳細情報

• CRID: 1390282679581304960
• NII論文ID: 10012703793
• NII書誌ID: AN10065950
• DOI: 10.1541/ieejeiss.124.1012
• ISSN: 13488155
• ISSN: 03854221
• NDL書誌ID: 6909921
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I6909921
• Web Site: http://www.jstage.jst.go.jp/article/ieejeiss/124/4/124_4_1012/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可