Dynamic Reoptimization of A Fed-Batch Fermentor Using Adaptive Critic Designs  

Oleh:

Wunsch, Donald C. ; Iyer, Mahesh S.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 12 no. 6 (2001), page 1433-1444.
Topik: DESIGN; dynamic reoptimization; fed - batch fermentor; critic designs

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.6 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

Traditionally, fed - batch biochemical process optimization and control uses complicated off - line optimizers, with no online model adaptation or re - optimization. This study demonstrates the applicability of a class of adaptive critic designs for online re - optimization and control of an aerobic fed - batch fermentor. Specifically, the performance of an entire class of adaptive critic designs, viz., heuristic dynamic programming, dual heuristic programming and generalized dual heuristic programming, was demonstrated to be superior to that of a heuristic random optimizer, on optimization of a fed - batch fermentor operation producing monoclonal antibodies.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali