Research in Adaptronic Automatic Control System and Biosensor System Modelling
DOI:
https://doi.org/10.1515/ecce-2015-0003Keywords:
Adaptation models, Biosensors, Modelling, SimulationAbstract
This paper describes the research on adaptronic systems made by the author and offers to use biosensors that can be later inserted into the adaptronic systems. Adaptronic systems are based, on the one hand, on the adaptronic approach when the system is designed not to always meet the worst condition, but to change the structure of the system according to the external conditions. On the other hand, it is an extension of common automatic control ad adaptive systems. So, in the introduction firstly the adaptronic approach and biosensor as a term is explained. Adaptive systems, upon which adaptronic ones are based, are also mentioned. Then the construction of biosensor is described, as well as some information is given about the classification of biosensors and their main groups. Also it is suggested to use lichen indicators in industry to control concentration of chemical substances in the air. After that mathematical models and computer experiments for adaptronic system and biosensor analysis are given.References
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V. Giurgiutiu, “Concepts of Adaptronic Structure,” Automatesierungstechnik, 54 (2006) 6, Oldenbourg Wissenschaftsverlag, 2006.
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Y. Liu and Q. Wang, “Mathematical and Computational Modeling of Biosensors: Modeling for Enzyme-substrate Interaction and Biomolecular Interaction,” in Proc. of the 2nd WSEAS International Conf. on Computational chemistry, COMPUCHEM’08, Puerto De La Cruz, Tenerife, Canary Islands, Spain, Dec. 15-17, 2008, pp. 38–42.
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V. Skopis and I. Uteshevs, “Modeling Adapters in the Adaptronic System for Automatic Control of Industrial Processes,” in 55th Int. Scientific Conf. on Power and Electrical Engineering of Riga Technical University, RTUCON, RTU Press, 2014, pp. 99–104. http://dx.doi.org/10.1109/rtucon.2014.6998174
A. G. Aleksandrov, Optimal and adaptive systems. Moscow, “Visshaya Shkola”, 1989, 263 p.
J. G. Baribina and M. L. Samovera, Under edition by Krupovich V. I., Handbook for design of automatized electric drives and technological process control systems, Moscow, “Energoizdat”, 1982, 416 p.
V. A. Besekersky and E. P. Popov, Automatic control theory, 3rd corrected ed., Moscow, “Nauka”, 1975, 768 p.
V. J. Shismarev, Automatics: textbook for secondary professional education students, Moscow, Publishing Centre “Akademia”, 201, 288 p.
N. D. Botkin et al., “A Mathematical Model of a Biosensor,” in Technical Pro. of the 2001 Int. Conf. on Modeling and Simulation of Microsystems, pp. 231–234.
A. A. Egorov, “Systematic, working principles and application areas of sensors,” Zhurnal radioelectroniki, no. 3 2009. [Online]. Available: http://jre.cplire.ru/alt/mar09/3/text.html
Biosensor devices, Principles of biosensor analysis. [Online]. Available: http://professorjournal.ru/PJGrantsPrograms/GrantmMaterialsServlet?grantmId=1977710&grantmType=lecttext
V. Giurgiutiu, “Actuators and Smart Structures,” Encyclopedia of Vibrations, Academic Press, 2001, pp. 58–81.
V. Giurgiutiu, “Concepts of Adaptronic Structure,” Automatesierungstechnik, 54 (2006) 6, Oldenbourg Wissenschaftsverlag, 2006.
V. Giurgiutiu, S. E. Lyshevski, “Microelectronics, Modeling, Analysis and Desgn with MATLAB,” CRC Press, 2004, 856 p.
H. Janocha, Adaptronics and Smart Structures, Springer Verlag, 1999, pp. 13–34. http://dx.doi.org/10.1007/978-3-662-03819-2
A. Meena, A. Eswari and L. Rajendran, “Mathematical Modeling of Biosensors: Enzyme-substrate Interaction and Biomolecular Interaction,” New Perspectives in Biosensors Technology and Applications [Online]. Available: http://cdn.intechopen.com/pdfs-wm/21687.pdf
Y. Liu and Q. Wang, “Mathematical and Computational Modeling of Biosensors: Modeling for Enzyme-substrate Interaction and Biomolecular Interaction,” in Proc. of the 2nd WSEAS International Conf. on Computational chemistry, COMPUCHEM’08, Puerto De La Cruz, Tenerife, Canary Islands, Spain, Dec. 15-17, 2008, pp. 38–42.
H. Unwin, “Using lichen as indicators of air quality,” [Online]. Available: http://www.theecologist.org/how_to_make_a_difference/cleaner_air_water_land/363298/using_lichen_as_indicators_of_air_quality.html
V. Skopis and I. Uteshevs, “Modeling Adapters in the Adaptronic System for Automatic Control of Industrial Processes,” in 55th Int. Scientific Conf. on Power and Electrical Engineering of Riga Technical University, RTUCON, RTU Press, 2014, pp. 99–104. http://dx.doi.org/10.1109/rtucon.2014.6998174
A. G. Aleksandrov, Optimal and adaptive systems. Moscow, “Visshaya Shkola”, 1989, 263 p.
J. G. Baribina and M. L. Samovera, Under edition by Krupovich V. I., Handbook for design of automatized electric drives and technological process control systems, Moscow, “Energoizdat”, 1982, 416 p.
V. A. Besekersky and E. P. Popov, Automatic control theory, 3rd corrected ed., Moscow, “Nauka”, 1975, 768 p.
V. J. Shismarev, Automatics: textbook for secondary professional education students, Moscow, Publishing Centre “Akademia”, 201, 288 p.
N. D. Botkin et al., “A Mathematical Model of a Biosensor,” in Technical Pro. of the 2001 Int. Conf. on Modeling and Simulation of Microsystems, pp. 231–234.
A. A. Egorov, “Systematic, working principles and application areas of sensors,” Zhurnal radioelectroniki, no. 3 2009. [Online]. Available: http://jre.cplire.ru/alt/mar09/3/text.html
Biosensor devices, Principles of biosensor analysis. [Online]. Available: http://professorjournal.ru/PJGrantsPrograms/GrantmMaterialsServlet?grantmId=1977710&grantmType=lecttext
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2015-07-01
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Copyright (c) 2015 Vladimir Skopis, Igors Uteshevs (Author)
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Skopis, V., & Uteshevs, I. (2015). Research in Adaptronic Automatic Control System and Biosensor System Modelling. Electrical, Control and Communication Engineering, 8(1), 20-29. https://doi.org/10.1515/ecce-2015-0003
