Generalized Nets Modelling of Biotechnological Processes

Generalized Nets Modelling of Biotechnological Processes is a book by Anthony Shannon, Olympia Roeva, Tania Pencheva and Krassimir Atanassov, published in 2004 by "Prof. Marin Drinov" Publishing house of the Bulgarian Academy of Sciences, under ISBN 954-322-039-5.

The purpose of this book is to apply the innovative alternative approach of generalized nets to modelling of biotechnological processes. As a result, various decisions can be made in general about the optimal implementation of the processes within the meaning of technological time and about the quality of products.

In this book the apparatus of generalized nets, as well as intuitionistic fuzzy logic are implemented for the first time in the modelling of biotechnological processes like: different operational modes of fermentation processes, different fermentation processes such as fed-batch fermentations of Escherichia coli and Brevibacterium flavul, methane fermentation, as well as for the wastewater treatment processes.

The use of GNs for the description of biotechnological processes affords the following opportunities:
 * online control;
 * searching of optimal conditions for the fermentation;
 * process of learning on the basis of experimental data;
 * control on the basis of expert systems.

As a result of applying techniques for the different biotechnological processes, various decisions can be made in general about the optimal implementation of the processes within the meaning of technological time and about the quality of products.

Table of contents

 * Preface
 * Chapter 1. Introduction
 * 1.1. Biotechnological processes
 * 1.1.1.	Batch fermentation processes
 * 1.1.2.	Fed-batch fermentation processes
 * 1.1.3.	Continuous fermentation processes
 * 1.2.	Generalized nets
 * 1.3.	Intuitionistic fuzzy logic
 * Chapter 2. General Fermentation Processes
 * 2.1.	Application of generalized nets to modelling the fed-batch fermentation process
 * 2.1.1.	Detailed generalized net model of fed-batch fermentation process
 * 2.1.2.	Common generalized net model of fed-batch fermentation
 * 2.2.	Application of generalized nets for modelling of batch and continuous fermentation processes based on a generalized net model of the fed-batch fermentation process
 * 2.2.1.	Generalized net model of batch fermentation
 * 2.2.2.	Generalized net model of continuous fermentation
 * 2.3.	Conclusions
 * Chapter 3. Generalized Nets Modelling of Different Fermentation Processes
 * 3.1.	Modelling of Escherichia coli cultivation process on the basis of generalized nets
 * 3.1.1.	Process description
 * 3.1.2.	Generalized net model of Escherichia coli cultivation
 * 3.2.	Modelling of Brevibacterium flavul 22LD fermentation process on the basis of generalized nets
 * 3.2.1.	Process description
 * 3.2.2.	Generalized net model of Brevibacterium flavul 22LD fermentation process
 * 3.3.	Generalized net model of methane fermentation process
 * 3.3.1.	Process description
 * 3.3.2.	Generalized net model of methane fermentation
 * 3.4.	Conclusions
 * Chapter 4. Generalized Nets Modelling of Wastewater Treatment Processes
 * 4.1.	Generalized nets with intuitionistic fuzzy sets for modelling of biotechnological processes with distributed parameters
 * 4.1.1.	Process description
 * 4.1.2.	Generalized net model of biotechnological processes with distributed parameters
 * 4.1.3.	Intuitionistic fuzzy logic in the generalized net model of biotechnological processes with distributed parameters
 * 4.2.	Generalized net model of fixed-bed bioreactors
 * 4.2.1.	Process description
 * 4.2.2.	Generalized net model of fixed-bed bioreactor
 * 4.2.3.	Elements of intuitionistic fuzzy logic in the generalized net model of fixed-bed bioreactor
 * 4.3.	Modelling of wastewater treatment process in the “biological reservoir – sedimentor” system on the basis of generalized nets
 * 4.3.1.	Process description
 * 4.3.2.	Experimental investigations in the “biological reservoir – sedimentor” system
 * 4.3.3.	Generalized net model of the technological scheme of the system “bioreservoir – sedimentor”
 * 4.4.	Generalized net model of the dynamics of wastewater treatment process in a “biological reservoir – sedimentor” system
 * 4.4.1.	Process description
 * 4.4.2.	Generalized net model and simulations results
 * 4.5.	Conclusion
 * Chapter 5. Conclusion and Further Research
 * 5.1.	Conclusion
 * 5.2.	Topics for further research
 * Bibliography