Modeling and Control of Ozonation and Biodegradation in Engineering gives a unified point of view on the application of Dynamic Neural Networks (DNN) to estimate and control the application of ozonation and biodegradation in chemical and environmental engineering. This book deals with modelling and control design of chemical processes oriented to environmental and chemical engineering problems. DNN enables plant engineers to obtain accurate processes analysis and realize effective control without requiring exact knowledge of real physical and chemical models. Linear Matrix Inequalities (LMI’s) are the main mathematical tools used to justify the workability of both the sensor and the neural controller. Solutions to problems are given using MATLAB.
Organic contaminants elimination in liquid, solid and gaseous phases are all covered in this book. Several processes of laboratory scale are evaluated with software sensors and controllers based on DNN technique. They are: removal of contaminants in residual water, remediation of contaminated soil, purification of contaminated air, biological degradation of contaminants in wastewater, bio-filtering treatment of volatile organic compounds, and bio-remediation of contaminated soils. The authors also look at combined treatment using both ozonation and biodegradation to test the sensor and controller.
- Presents the DNN technique as an efficient method to identify and design controllers for a wide class of chemical and environmental engineering processes and introduces a unified mathematical approach that can be easily understood and applied by plant engineers, researchers and postgraduate students
- Defines a novel researching trend in environmental engineering processes dealing with incomplete mathematical model description and other non-measurable parameters and variables. Offers both significant new theoretical challenges and an examination of real-world problem-solving
- Helps students or practitioners learn and implement DNN inexpensively using commercially available, PC-based software tools
Academics, engineers and graduate students in the fields of chemical or environmental engineering who have a focus on ozonation or biodegradation. Plant Engineers
I Chemical Processes in Environmental Engineering and Dynamic Neural Networks
1. Ozonation as main method for organic contaminants degradation in three different phases: liquid, solid and gaseous
2. Modelling of Ozonation Processes
3. Background on Dynamic Neural Networks
4. Motivation of DifferentialNeuralNetworks Application to Environment Problems
5. Neural observer application for phenols conventional ozonation in water to its simulation and kinetic parameters identification at different pHs
II Ozonation as a Principal Treatment Method for Organic Contaminants Elimination in Liquid Phase
6. Automatic control of ozonation systems
7. Catalytic ozonation for Recalcitrant Contaminants Removal 101
8. Photocatalytic Ozonation for Complex Organics
9. Physicochemical and OzonationMixed TreatmentMethods
10. Continuous Ozonation Treatment
III Remediation of Contaminated Soil
11. Conventional Ozonation and Mass Transfer Effects in Solid Phase
IV Purification of Contaminated Air
12. Ozonation of Gaseous Samples
V Sequential Treatment by Biodegradation and Ozonation
- No. of pages:
- © Elsevier 2019
- 2nd October 2018
- Paperback ISBN:
Tatyana Poznyak is with the Section of Graduate Studies and Research in the National Polytechnic Institute of Mexico-ESIQIE. She has been a regular member of the Mexican Academy of Sciences since 2004 and Member of National System of Researchers, SNI-II, since 1994. She is also a member of the "International Ozone Association" (IOA-PAG) - since 1998 and Active Member of the Chemical Society of Mexico - from 1997 to date. Her current researching interests are in Environmental Chemical Engineering and Ozone application in biochemistry and medicine. She directed 12 PhD’s as well as 24 Master degree theses. She has published 76 articles in journals and 7 chapters in referred books. She has presented 160 papers in international conferences and 63 in national congresses. She is the author of 8 international patents.
Professor of Environmental Chemical Engineering at SEPI-ESIQIE-IPN, Mexico
Isaac Chairez has served as full time professor over the last 15 years in the Professional Interdisciplinary Unit of the National Politechnique Institute (NPI). He has published 76 papers in referred journal included in the JCR. Over the last ten years, Dr. Chairez have been working on projects oriented on bioengineering. His research focus is on new Artificial Neural Network methods to solve a wide range of engineering problems from adaptive control of uncertain systems to new methods to classify patterns in electrophysiological signals. In particular, he now aims to develop embedded forms of these networks in order to evaluate their workability on real life problems.
Professor of Bioengineering at SEPI-UPIBI-IPN, Mexico
Alexander S. Poznyak has published more than 200 papers in different international journals and 13 books including 2 for Elsevier. He is Fellow of IMA (Institute of Mathematics and Its Applications, Essex UK) and Associated Editor of Oxford-IMA Journal on Mathematical Control and Information. He was also Associated Editor of CDC, ACC and Member of Editorial Board of IEEE CSS. He is a member of the Evaluation Committee of SNI (Ministry of Science and Technology) responsible for Engineering Science and Technology Foundation in Mexico, and a member of Award Committee of Premium of Mexico on Science and Technology. In 2014 he was invited by the USA Government to serve as the member of NSF committee on “Neuro Sciences and Artificial Intelligence”.
Professor in Automatic Control at CINVESTAV-IPN, Mexico