Model And Optimization Of Biotechnological Processes Artificial Intelligence Approaches

Chen Lei Zhi, Nguang Sing Kiong, Chen Xiao Dong07803-7413-4, 3-540-30634-X, 354030634X, 978-3-540-30634-4

Table of contents :
front-matter.pdf……Page 1
1.1 Fermentation Processes……Page 9
1.2 Fed-Batch Fermentation Processes by Conventional Methods……Page 12
1.3 Artificial Intelligence for Optimal Fermentation Control……Page 15
1.4 Why is Artificial Intelligence Attractive for Fermentation Control……Page 20
1.7 Book Organization……Page 22
2.1 Introduction……Page 25
2.2 Proposed Model and Problem Formulation……Page 26
2.3 Genetic Algorithm……Page 27
2.4 Optimization using Genetic Algorithms based on the Process Model……Page 28
2.5 Numerical Results……Page 29
2.6 Conclusions……Page 35
3.1 Introduction……Page 36
3.2 Fed-batch Model and Problem Formulation……Page 37
3.3 Methodology Proposed……Page 38
3.4 Numerical Results……Page 39
3.5 Summary……Page 47
4.1 Introduction……Page 48
4.2 Softsensor Structure Determination and Implementation……Page 49
4.3 Experimental Verification……Page 56
4.4 Conclusions……Page 63
5.1 Introduction……Page 64
5.3 Development of Dynamic Neural Network Model……Page 65
5.4 Biomass Predictions using the Neural Model……Page 69
5.5 Optimization of Feed Rate Profiles……Page 73
5.6 Summary……Page 77
6.1 Introduction……Page 78
6.2 Dynamic Models……Page 79
6.3 Experimental Procedure……Page 81
6.4 Model Identification……Page 87
6.5 Conclusions……Page 96
7.1 Definition of an Optimal Feed Rate Profile……Page 97
7.2 Formulation of the Optimization Problem……Page 100
7.3 Optimization Procedure……Page 101
7.4 Optimization Results and Discussion……Page 103
7.5 Conclusions……Page 114
8.1 General Conclusions……Page 115
8.2 Suggestions for Future Research……Page 116
back-matter.pdf……Page 117