An algorithm for minimization of detrimental outputs in low-temperature thermal-controlled processes
暂无分享,去创建一个
An algorithm for control of low-temperature thermal processes under uncertainty is proposed. The uncertainty is treated within an adaptive fuzzy model. The algorithm is able to control processes, which are realized by collectives of active systems, e.g. microorganism systems.
[1] Suteaki Shioya,et al. On-line estimation and control of apparent extract concentration in low-malt beer fermentation , 2005 .
[2] Y. Pigovsky,et al. Modeling Dynamics of Microorganisms Systems under Uncertainty , 2007, 2007 9th International Conference - The Experience of Designing and Applications of CAD Systems in Microelectronics.
[3] E. Besada-Portas,et al. Multiobjective optimization and multivariable control of the beer fermentation process with the use of evolutionary algorithms , 2004, Journal of Zhejiang University. Science.