首页> 外文会议>New trends in fuzzy logic II >FUZZY MODELLING IN BIOTECHNOLOGICAL PROCESSES: ENHANCING OF PARAMETER OBSERVABILITY
【24h】

FUZZY MODELLING IN BIOTECHNOLOGICAL PROCESSES: ENHANCING OF PARAMETER OBSERVABILITY

机译:生物技术过程中的模糊建模:增强参数的可观察性

获取原文
获取原文并翻译 | 示例

摘要

Biotechnological processes show an high level of complexity. The approach to their description cannot be limited to the assembling of simple mechanisms which account for main phenomena. A macroapproach has been proposed based on the evaluation of key parameters which directly or indirectly account for the relevant phenomena. The key parameter must satisfy some constrains in order to be eligible, the main one is the observability that involve different considerations about achievability, feasibility, practicability, time, cost, availability and simplicity. This paper propose a simple but effective methodology to improve observability. A secondary fuzzy algorithm based on off line measurements is set up to evaluate the low observable parameter. The secondary fuzzy algorithm is then inferred serially with the main fuzzy algorithm and contains a predictive evaluation of the parameter. It is important underline that only an initial fuzzification and a final defuzzification need reducing the uncertainty contained in these steps. The methodology has been applied to the description of ethanol production by Saccharomyces cerevisiae entrapped in Ca-alginate.
机译:生物技术过程显示出高度的复杂性。描述它们的方法不能局限于解释主要现象的简单机制的组装。基于对直接或间接说明相关现象的关键参数的评估,提出了一种宏观方法。关键参数必须满足一些约束条件才能合格,主要参数是可观察性,涉及可实现性,可行性,实用性,时间,成本,可用性和简单性的不同考虑。本文提出了一种简单而有效的方法来提高可观察性。建立了基于离线测量的二次模糊算法,以评估低可观测参数。然后,与主要模糊算法相继推断出次要模糊算法,并包含对参数的预测评估。重要的是要强调,只有初始模糊化和最终去模糊化才需要减少这些步骤中包含的不确定性。该方法已用于描述藻酸钙中夹带的酿酒酵母的乙醇生产。

著录项

  • 来源
    《New trends in fuzzy logic II》|1997年|148-155|共8页
  • 会议地点 Bari(IT)
  • 作者

    B. RUGGERI; G. SASSI;

  • 作者单位

    Dipartimento di Scienza dei Materiali e lngegneria Chimica, Politecnico di Torino, 24 C.so Duca degli Abruzzi, Torino, 10129, Italy;

    Dipartimento di Scienza dei Materiali e lngegneria Chimica, Politecnico di Torino, 24 C.so Duca degli Abruzzi, Torino, 10129, Italy;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 模糊数学;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号