首页> 外文会议>Vienna International Conferenceon Mathematical Modelling >Structural identifiability analysis of the Anaerobic Digestion Model No. 1 using a local algebraic observability approach
【24h】

Structural identifiability analysis of the Anaerobic Digestion Model No. 1 using a local algebraic observability approach

机译:使用本地代数观察性方法的厌氧消化模型1的结构可识别性分析

获取原文

摘要

Structural identifiability is a prerequisite for a successful parameter estimation of a dynamical model. 'Structural' relates to the theoretical possibility of estimating the parameters under the idealized conditions that all measurements are perfect and continuous, and that the model is a perfect representation of the real process. In this research, the Anaerobic Digestion Model No. 1 (ADM1) is analysed. The model is of great importance in anaerobic digestion modelling. Due to its numerous parameters, however, its structural identifiability is an open question. The used method investigates the local algebraic observability, which is a sufficient condition for structural local identifiability. Different measurement scenarios were tested, as well as the influence of the choice of inputs. The obtained results are optimistic, since in most conditions, nearly all of the initial conditions of the states and the kinetic, stoichiometric and composition parameters are found to be structurally locally identifiable if almost any one of the states is measured. Unidentifiability occurs for the parameters pertaining to inerts and the cations and anions. For these parameters, nevertheless, structurally identifiable parameter combinations are found.
机译:结构辨识是一个动态模型的成功参数估计的先决条件。 “结构”涉及理想化的条件下估计所述参数的所有测量是完美的和连续的理论上的可能性,并且该模型是真实的过程的完美表示。在这项研究中,厌氧消化型号1(ADM1)进行了分析。该模型是在厌氧消化造型非常重要的。由于其众多的参数,但是,其结构可识别性是一个悬而未决的问题。所使用的方法调查了本地代数可观测性,这是一种用于结构的本地识别性的充分条件。不同的测量情景进行了测试,以及作为输入的选择的影响。所得到的结果是乐观的,因为在大多数情况下,几乎所有的状态和动力学的初始条件,化学计量和组成参数被发现如果状态的几乎任何一个被测量为在结构上局部地识别。非识别为发生关于惰性物质和阳离子和阴离子的参数。对于这些参数,不过,在结构上可识别参数的组合被发现。

著录项

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