4,584 research outputs found
Mapping Model of Chaotic Phase Synchronization
A coupled map model for the chaotic phase synchronization and its
desynchronization phenomenon is proposed. The model is constructed by
integrating the coupled kicked oscillator system, kicking strength depending on
the complex state variables. It is shown that the proposed model clearly
exhibits the chaotic phase synchronization phenomenon. Furthermore, we
numerically prove that in the region where the phase synchronization is weakly
broken, the anomalous scaling of the phase difference rotation number is
observed. This proves that the present model belongs to the same universality
class found by Pikovsky et al.. Furthermore, the phase diffusion coefficient in
the de-synchronization state is analyzed.Comment: Accepted for publication in Prog. Theor. Phy
IDF-Autoware: Integrated Development Framework for ROS-Based Self-Driving Systems Using MATLAB/Simulink
This paper proposes an integrated development framework that enables co-simulation and operation of a Robot Operating System (ROS)-based self-driving system using MATLAB/Simulink (IDF-Autoware). The management of self-driving systems is becoming more complex as the development of self-driving technology progresses. One approach to the development of self-driving systems is the use of ROS; however, the system used in the automotive industry is typically designed using MATLAB/Simulink, which can simulate and evaluate the models used for self-driving. These models are incompatible with ROS-based systems. To allow the two to be used in tandem, it is necessary to rewrite the C++ code and incorporate them into the ROS-based system, which makes development inefficient. Therefore, the proposed framework allows models created using MATLAB/Simulink to be used in a ROS-based self-driving system, thereby improving development efficiency. Furthermore, our evaluations of the proposed framework demonstrated its practical potential
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