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Embryonic systems implementation with FPGA‐based artificial cell network hardware architectures
Author(s) -
Szász Csaba,
Chindriş Virgil,
Husi Géza
Publication year - 2010
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.166
Subject(s) - field programmable gate array , robustness (evolution) , computer science , embryonic stem cell , fault tolerance , embedded system , evolvable hardware , computer architecture , computer hardware , distributed computing , biology , biochemistry , gene
The cell‐based structure, which makes up the majority of biological organisms, offers the ability to grow with fault‐tolerance abilities and self‐repair. By adapting these mechanisms and capabilities to nature, scientific approaches have promoted research for understanding related phenomena and associated principles to engine complex novel digital systems and improve their capability. Founded by these observations, the paper is focused on computer‐aided modeling, simulation and experimental research of embryonic systems, with the purpose to implement very large scale integrated hardware structures which are able to imitate cells or artificial organism operation mode, with similar robustness and fault‐tolerance properties like their biological equivalents from nature. Field Programmable Gate Array (FPGA)‐based artificial cell model configuration provided with strongly network communication capabilities is proposed and developed. The presented theoretical and simulation approaches were tested on a laboratory prototype embryonic system (embryonic machine), for study and implementation of basic abilities of living organisms. Copyright © 2010 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society