ACC'09 Proceedings of the 2009 conference on American Control Conference
Adaptive dynamic programming: an introduction
IEEE Computational Intelligence Magazine
Adaptive critic design with ESN critic for bioprocess optimization
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
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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