Title :
Fractional-order dynamics in a random, approximately scale-free network of agents
Author_Institution :
Dept. of Aerosp. & Mech. Eng., Univ. of Notre Dame, Notre Dame, IN, USA
Abstract :
Differential equations with fractional-order derivatives, e.g., the "one-half" derivative, have a long history in mathematics, but have not yet attained mainstream use in engineering and applied science. While applications do exist in modeling specific phenomena such as visco-elasticity and other types of difficult-to-model phenomena, and extensions to control such as in fractional-order PID do exist, everyday use of fractional order modeling is uncommon. A subset of complex systems called Cyber-Physical Systems (CPS) is receiving much emphasis in the research community. In this paper we show examples of networked system models which exhibit fractional-order dynamic responses. This suggests that fractional-order dynamics may be prevalent in CPS and hence may be an important and useful modeling tool in that area. We particularly focus on a scale free networked system.
Keywords :
approximation theory; complex networks; differential equations; mobile robots; multi-agent systems; multi-robot systems; three-term control; CPS; agent approximate scale-free networked system; agent random scale-free networked system; cyber-physical systems; differential equations; difficult-to-model phenomena; fractional-order PID; fractional-order derivatives; fractional-order dynamic responses; visco-elasticity; Aerodynamics; Control systems; Equations; Mathematical model; Robots; Transfer functions;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on
DOI :
10.1109/ICARCV.2014.7064551