Indirect Control of A Class of Nonlinear Dynanic Systems  

Oleh:

Mistry, S. I. ; Chang, Shao-Liang ; Nair, S. S.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 7 no. 4 (1996), page 1015-1023.
Topik: SYSTEMS; indirect control; non linear; dynamic system

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.1 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

Identification and control designs are considered using neural networks for a class of nonlinear partially known dynamic systems. Real - time implementation of two designs, a neural identifier and a proposed neural controller, using an experimental system, comparisons with two other neural networks as well as conventional schemes, and an implementation architecture are reported. The proposed control design facilitates incorporation of available knowledge about the structure of the system. The study also illustrates the inherent capability of neural networks to handle non linearities and perform control effectively for a real world system, based on minimal system information.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali