Special Issue "Modeling and Analysis of Autonomous Intelligence"

Submission Deadline: 31 December 2020
Submit to Special Issue
Guest Editors
Prof. Shiping Wen, University of Technology Sydney, Australia
Prof. Yin Yang, Hamad Bin Khalifa University, Qatar


For intelligent control, the implication is that, without a similar brain-body-environment triumvirate, self-driving cars, drones and agile robots will be forever limited to environments they have been programmed to navigate. Currently, progress in autonomy for these artificial agents is constrained by the available learning algorithms and design methods, most of which only work in static environments. As a result, they exhibit crippling fragility in unstructured and changing environments. Therefore, this topic aims to promote the development of autonomous control methods to be adapted to dynamically changing tasks and environments in real-time. Therefore, this topic is suitable for a special issue of CMES.

• Autonomous intelligence
• Model design of general deep networks
• Neurodynamical analysis and application
• Dynamic analysis of deep neural networks
• Efficient training analysis for deep learning
• Deep neural network based control method
• Deep neural networks for image processing
• Robotic system modeling and its application
• Mathematical analysis of deep neural networks
• New meta-heuristic algorithm and its application
• Deep neural network based algorithms in smart grids
• New model of memristor-based system and its application
• Novel deep network architecture for emerging nano-devices
• Plug-in Electric Vehicle (PEV) management via learning systems
• The other related topics

Published Papers
  • Improvement of Orbit Prediction Algorithm for Spacecraft Through Simplified Precession-Nutation Model Using Cubic Spline Interpolation Method
  • Abstract For the on-orbit flight missions, the model of orbit prediction is critical for the tasks with high accuracy requirement and limited computing resources of spacecraft. The precession-nutation model, as the main part of extended orbit prediction, affects the efficiency and accuracy of on-board operation. In this paper, the previous research about the conversion between the Geocentric Celestial Reference System and International Terrestrial Reference System is briefly summarized, and a practical concise precession-nutation model is proposed for coordinate transformation computation based on Celestial Intermediate Pole (CIP). The idea that simplifying the CIP-based model with interpolation method is driven by characteristics of… More
  •   Views:67       Downloads:49        Download PDF