Parameter Identification For Continuous Bio-dissimilation Process Of Glycerol

Nowadays,the progress of science and technical was celerity,man of learned domestic and overseas have done many study on the modeling,parameter identification,majorization and get command of the glycerol bio-dissimilation process,and achieved some results.This article mainly research the parameter identification of the succession bio-dissimilation process of glycerol.Directing at this problem,the parameter recognition majorization model of the nonlinear stock differential eqs dynamic system including the continuous bio-dissimilation process of glycerol was establish,and an efficacious recognition model solution way was designed,and the optimal model arguments of the corresponding dynamic system were picked up.The major content of the paper research and the main consequence obtained are as follows:1.In view of the nonlinear extra dynamics system of glycerol succession bio-dissimilation system,Thinking about the non-negative restriction requirements of substrate precise consumption rate and product precise reproduction rate,an optimization model of parameter identification was fixed,and then the SQP algorithm was used to design the algorithm.The valuation results show that better parameter identification are obtained in this article.2.The nonlinear S-system of the succession bio-dissimilation process of glycerol is given,the mathematical properties of the nonlinear S-system are counseled,the parameter optimization model is structured.So that to work out this problem,based on the logarithmic congress,the found nonlinear parameter identification optimization issue is transformed into a gibbous quadratic programming issue to solve.By figure up the transformed gibbous quadratic programming issue,the optimal parameter value of the parameter identification optimization issue can be settle.Finally,describe the picture and comparative the optimization results.