Special Issue "Mathematical Methods and Models Applied in Information Technology and Electrical Engineering"
Deadline for manuscript submissions: 20 September 2022 | Viewed by 2613
Interests: control theory; network; game theory; logical system; matrix theory
Interests: control theory; information science; engineering mathematics; network; logic
Interests: control theory; fuzzy logic; network; nonlinear system
Logic is a fundamental concept of understanding real words. When logical dynamics is considered in hybrid systems, logical systems are encountered. Logical systems are an effective tool to model genetic regulatory networks as well as social networks, which has attracted much attention from various scientists, including several Nobel prize winners. Logical networks include Boolean networks, multi-valued logical networks, and mix-valued logical networks. In a Boolean network, each gene can take two possible values, 1 and 0, and its value (1 or 0) indicates its measured abundance (expressed or unexpressed; high or low). From a graphical perspective, genes in a Boolean network are nodes in this network, and edges describe regulatory relationships between genes. Based on Boolean networks, several important logical models are established, such as networked evolutionary games, hybrid automata, hybrid Petri nets, finite-field networks, feedback shift registers, fuzzy control, and so on. When delay, impulse, switching, and uncertainty are considered in logical systems, various generalized systems are obtained. Recently, there have been many new developments on logical systems based on the classical theory of studying Boolean networks. This includes but is not limited to the analysis of logical systems, design of logical control, applications of logical systems, and other related issues, such as computational complexity and mathematical foundation.
Prof. Dr. Haitao Li
Prof. Dr. June Feng
Prof. Dr. Ben Niu
Dr. Shihua Fu
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- control theory
- logical system
- information science
- engineering mathematics
- matrix theory
- fuzzy logic
- nonlinear system