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Path particle swarm optimization algorithm of gene controlled nonlinear dynamical system

A nonlinear dynamic, particle swarm optimization technology, applied in computing, special data processing applications, instruments, etc., can solve the problems of high cost, low production intensity, low output, etc., to achieve strong stability, improve computing efficiency and accuracy. sexual effect

Active Publication Date: 2016-08-31
南京宁创经纬智能技术有限公司
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Domestic production of 1,3-PD by microbial fermentation is not particularly mature, and there are problems such as low production intensity, low output, and high cost

Method used

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  • Path particle swarm optimization algorithm of gene controlled nonlinear dynamical system
  • Path particle swarm optimization algorithm of gene controlled nonlinear dynamical system
  • Path particle swarm optimization algorithm of gene controlled nonlinear dynamical system

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Embodiment Construction

[0031] In the present invention, let x(t)=(x 1 , x 2 ,...,x 14 ) T ∈ R 14 is a state variable whose allowed set is x 1 , x 2 ,...,x 5 Denote extracellular biomass, glycerol, 1,3-PD, acetic acid, and ethanol, respectively.

[0032] x 6 , x 7 ,...,x 14 respectively represent the concentration of intracellular glycerol, 3-HPA, 1,3-PD, m R , freely regulated protein concentration R, m GDHt , concentration of glycerol dehydratase (GDHt), m PDOR , 1,3-PD oxidoreductase (PDOR) concentration.

[0033] The improved nonlinear dynamical system of gene regulation is as follows:

[0034]

[0035] where F=(f 1 , f 2 ,..., f 14 ) T , u j，l ∈ R 21 , [0,T]∈R +

[0036] The 14-dimensional continuous fermentation gene system considering the path is as follows:

[0037]

[0038]

[0039]

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[0044]

[0045]

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[0050]

[0051] k ∈ {0, 1} 17

[0052] specific gro...

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Abstract

The invention relates to a path particle swarm optimization algorithm of a gene controlled nonlinear dynamical system. Ordering x(t)=(x1,x2, and the like,x14) <T> belonging to a set of R<14> to be a state variable, and an admissible set is a formula, wherein x1, x2, and the like, x5 respectively represent extracellular biomass, glycerol, 1,3-PD, acetic acid, and ethanol; x6, x7, and the like, x14 respectively represent intracellular glycerol, concentration of 3-HPA, concentration of 1,3-PD, mR, free regulation protein concentration R, mGDHt, concentration of glycerol dehydratase GDHt, mPDOR, and concentration of 1-3-PD oxidordeuctase PDOR. The optimization algorithm gives most possible path identification of a glycerol dissimilation reaction, and a new definition of extracellular relative error is introduced, and an obtained result is good in stability. The optimization algorithm adds a plurality of determining conditions, so the optimization algorithm fits actual problems of continuous fermentation, and operation efficiency and accuracy are improved.

Description

technical field [0001] The invention belongs to the technical field of automatic control, and relates to a path particle swarm optimization algorithm of a gene regulation nonlinear dynamic system. Background technique [0002] In recent years, as the demand for energy in various countries in the world continues to expand and the supply of non-renewable resources such as coal and oil is insufficient, biorefinery technology using renewable resources as raw materials has attracted more and more attention at home and abroad, especially biodiesel , 1,3-propanediol (1,3-PD) and the like. 1,3-PD is an important chemical raw material, mainly used as a monomer of polyester and polyurethane, as well as a solvent, antifreeze or protective agent. There are two main ways to produce 1,3-PD: chemical synthesis and microbial transformation. The chemical synthesis of 1,3-PD requires high temperature, high pressure and heavy metal catalysis. In contrast, the microbial conversion of 1,3-PD i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 王金鹤翟畅孟凡云
Owner 南京宁创经纬智能技术有限公司
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