Special Issue "Advanced Intelligent Decision and Intelligent Control with Applications in Smart City"

Submission Deadline: 01 November 2022
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Guest Editors
Prof. Zhengtian Wu, Suzhou University of Science and Technology, China
Prof. Michael V. Basin, the Autonomous University of Nuevo Leon, Mexico
Prof. Qing Gao, Beihang University, China


The research on intelligent decision and intelligent control have promoted the development of smart city greatly. Studies on these area have attracted engineers and scientists from various disciplines such as control theory, mathematics, computer science,management, and so on. This Special Issue will feature recent developments of intelligent decision and intelligent control with applications in smart city. It aims to provide a platform for sharing recent results and team experience to contribute to the advancing of intelligent decision and intelligent control.

Potential topics include but are not limited to the following:

l  Combinatorial optimization of intelligent decision;

l  Emergency management;

l  Intelligent systems and control theory;

l  Intelligent unmmaned systems;

l  Advanced smart manufacturing;

l  Smart city and smart grid;

l  Intelligent Perceptual and Diagnosis of Equipment;

l  Computer vision and its industrial applications;

l  Integrated equipment design and validations;

l  Robot design, control, and applications;

l  Urban environment monitoring and emergency early warning;

l  Pollution control policies and their social effects;

l  Machine learning and deep learning.

Intelligent decision; intelligent control; smart city; emergency management; smart manufacturing

Published Papers
  • Research on Leak Location Method of Water Supply Pipeline Based on MVMD
  • Abstract At present, the leakage rate of the water distribution network in China is still high, and the waste of water resources caused by water distribution network leakage is quite serious every year. Therefore, the location of pipeline leakage is of great significance for saving water resources and reducing economic losses. Acoustic emission technology is the most widely used pipeline leak location technology. The traditional non-stationary random signal de-noising method mainly relies on the estimation of noise parameters, ignoring periodic noise and components unrelated to pipeline leakage. Aiming at the above problems, this paper proposes a leak location method for water… More
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