Robust Adaptive Fuzzy Neural Controller Design of MIMO Nonlinear Systems  

Oleh:

Gao, Y. ; Er, M.J.

Jenis: Article from Article
Dalam koleksi: Final Program and Book of Abstracts: The 4th Asian Control Conference, September 25-27, 2002 (Sep. 2002), page 215-219.
Topik: Robust Adaptive; Fuzzy Neural Controller; MIMO; Nonlinear Systems
Fulltext: AC021608.PDF (167.31KB)

Isi artikel

This paper presents a robust Adaptive Fuzzy Neural Controller (AFNC) suitable for identification and control of uncertain Multi-Input-Multi-Output (MIMO) nonlinear systems. The proposed controller has the following salient features: 1) Self-organizing fuzzy neural structure, 2) Fast online learning ability; 3) Adaptive robust control. Simulation studies on a two-link robot manipulator show that the performance of the proposed controller is excellent.

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