Between two engineering ages: Of information and complex systems, professional research is based on a team work!

Alexandru Serbanescu (1, 2) , Adrian Diaconu (2) , Cornel Ioana (3) , Angela Digulescu (3, 1)

1 MTA - ATM - Military Technical Academy - Académie Technique Militaire [Bucharest, Romania]
2 LUMINA - The University of South-East Europe, Bucharest, Romania
3 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique

– From twenty years we promote the idea that engineering's systems (and not only!) are nonlinear ones and usually can have chaotically behaviors and their associated processes need special studies' methods. In this paper we present two directions from our research: cryptography based on chaos and a new method to analyze signals from nonlinear dynamical systems. Keywords-Nonlinear complex systems, hinking in systems, cryptography based on chaos, signal processing based on recurrence plot ananlysis. In its most general sense, engineering is turning an idea into a reality, creating and using tools to accomplish a task or fulfill a purpose. There is the appreciation that the story of engineering divides into five ages: gravity, heat, electromagnetism, information, and systems. The same specialists appreciate that we are in the age of information, which has turned now into the age of complex systems. Complexity describes objects with many interconnected parts and complex systems are a subfield of computer science, called computational complexity. Speaking of the concepts: complicated and complex we can say that it is easy to distinguish one from the other only at the extremes, but there is a middle ground where the distinction becomes unclear and arbitrary. The interactions of interest are non-linear and this non-linearity yields levels of organization and hierarchies. Complex systems exhibit several kinds of behavior such as: self-organization into patterns, chaotic behavior adaptive interaction. Analyzing complexity, we can ask how systems can generate perpetual novelty using limited resources. And besides many answers two concepts become important: laws and states. For example, for a system, the course over time appears chaotic rather than deterministic. Though the partial differential equations describing chaotic systems are fully deterministic, the presumed guarantees of determinism: similar starting conditions yield similar state trajectories— no longer hold! We must take in account a systemic approach because a system is more than the sum of its parts. It may exhibit adaptive, dynamic, goal-seeking, self-preserving, and sometimes evolutionary behavior. The least obvious part of the system, its function or purpose, is often the most crucial determinant of the system's behavior. Complex behaviors of systems often arise as the relative strengths of feedback loops shift, causing first one loop and then another to dominate behavior! What can we do?

Domaines: Sciences de l'ingénieur [physics]

Alexandru Serbanescu, Adrian Diaconu, Cornel Ioana, Angela Digulescu. Between two engineering ages: Of information and complex systems, professional research is based on a team work!. ECAI 2015 - 7th International Conference on Electronics, Computers and Artificial Intelligence, Jun 2015, Bucharest, Romania. ⟨10.1109/ECAI.2015.7301136⟩. ⟨hal-01448221⟩