Table of Content

Advanced Intelligent Decision and Intelligent Control with Applications in Smart City

Submission Deadline: 01 November 2022 (closed)

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

Summary

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.


Keywords

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

Published Papers


  • Open Access

    ARTICLE

    Observer-Based Control for a Cable-Driven Aerial Manipulator under Lumped Disturbances

    Li Ding, Yong Yao, Rui Ma
    Computer Modeling in Engineering & Sciences, Vol.135, No.2, pp. 1539-1558, 2023, DOI:10.32604/cmes.2022.023003
    (This article belongs to this Special Issue: Advanced Intelligent Decision and Intelligent Control with Applications in Smart City)
    Abstract With the increasing demand for interactive aerial operations, the application of aerial manipulators is becoming more promising. However, there are a few critical problems on how to improve the energetic efficiency and pose control of the aerial manipulator for practical application. In this paper, a novel cable-driven aerial manipulator used for remote water sampling is proposed and then its rigid-flexible coupling dynamics model is constructed which takes joint flexibility into account. To achieve high precision joint position tracking under lumped disturbances, a newly controller, which consists of three parts: linear extended state observer, adaptive super-twisting strategy, and fractional-order nonsingular terminal… More >

  • Open Access

    ARTICLE

    A Road Segmentation Model Based on Mixture of the Convolutional Neural Network and the Transformer Network

    Fenglei Xu, Haokai Zhao, Fuyuan Hu, Mingfei Shen, Yifei Wu
    Computer Modeling in Engineering & Sciences, Vol.135, No.2, pp. 1559-1570, 2023, DOI:10.32604/cmes.2022.023217
    (This article belongs to this Special Issue: Advanced Intelligent Decision and Intelligent Control with Applications in Smart City)
    Abstract Convolutional neural networks (CNN) based on U-shaped structures and skip connections play a pivotal role in various image segmentation tasks. Recently, Transformer starts to lead new trends in the image segmentation task. Transformer layer can construct the relationship between all pixels, and the two parties can complement each other well. On the basis of these characteristics, we try to combine Transformer pipeline and convolutional neural network pipeline to gain the advantages of both. The image is put into the U-shaped encoder-decoder architecture based on empirical combination of self-attention and convolution, in which skip connections are utilized for local-global semantic feature… More >

  • Open Access

    ARTICLE

    Optimal Joint Space Control of a Cable-Driven Aerial Manipulator

    Li Ding, Rui Ma, Zhengtian Wu, Rongzhi Qi, Wenrui Ruan
    Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 441-464, 2023, DOI:10.32604/cmes.2022.022642
    (This article belongs to this Special Issue: Advanced Intelligent Decision and Intelligent Control with Applications in Smart City)
    Abstract This article proposes a novel method for maintaining the trajectory of an aerial manipulator by utilizing a fast nonsingular terminal sliding mode (FNTSM) manifold and a linear extended state observer (LESO). The developed control method applies an FNTSM to ensure the tracking performance’s control accuracy, and an LESO to estimate the system’s unmodeled dynamics and external disturbances. Additionally, an improved salp swarm algorithm (ISSA) is employed to parameter tune the suggested controller by integrating the salp swarm technique with a cloud model. This approach also uses a model-free scheme to reduce the complexity of controller design without relying on complex… More >

  • Open Access

    ARTICLE

    Robot Zero-Moment Control Algorithm Based on Parameter Identification of Low-Speed Dynamic Balance

    Saixuan Chen, Jie Yang, Guohua Cui, Fuzhou Niu, Baiqiang Yao, Yu Zhang
    Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 2021-2039, 2023, DOI:10.32604/cmes.2022.022669
    (This article belongs to this Special Issue: Advanced Intelligent Decision and Intelligent Control with Applications in Smart City)
    Abstract This paper proposes a zero-moment control torque compensation technique. After compensating the gravity and friction of the robot, it must overcome a small inertial force to move in compliance with the external force. The principle of torque balance was used to realise the zero-moment dragging and teaching function of the lightweight collaborative robot. The robot parameter identification based on the least square method was used to accurately identify the robot torque sensitivity and friction parameters. When the robot joint rotates at a low speed, it can approximately satisfy the torque balance equation. The experiment uses the joint position and the… More >

  • Open Access

    ARTICLE

    Retrieval and Regional Distribution Analysis of Ammonia, Sulfur Dioxide and Nitrogen Dioxide in the Urban Environment Using Ultraviolet DOAS Algorithm

    Hao Chen, Jie Xu, Yibo Hu, Fuzhou Niu, Zhiyan Li, Dan Wang, Guizhong Fu, Chuanxin Li
    Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1251-1262, 2023, DOI:10.32604/cmes.2022.022279
    (This article belongs to this Special Issue: Advanced Intelligent Decision and Intelligent Control with Applications in Smart City)
    Abstract Aiming at the in situ and mobile observation of urban environmental air pollution, a portable instrument using ultraviolet spectrum retrieval algorithm was developed based on the basis of Differential Optical Absorption Spectroscopy (DOAS) and multiple-pass cell technique. Typical trace gas pollutants, NH3, SO2, and NO2, were explored using their optical spectral characteristics in deep ultraviolet wavelength range from 210 to 215 nm. The gas concentration was retrieved by Lambert-Beer's law and nonlinear least square method. With an optimized optical alignment, the detection limits of NH3, SO2, NO2 were estimated to be 2.2, 2.3, and 36.2 ppb, respectively. The system was… More >

  • Open Access

    ARTICLE

    Research on Leak Location Method of Water Supply Pipeline Based on MVMD

    Qiansheng Fang, Haojie Wang, Chenlei Xie, Jie Chen
    Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1237-1250, 2023, DOI:10.32604/cmes.2022.021131
    (This article belongs to this Special Issue: Advanced Intelligent Decision and Intelligent Control with Applications in Smart City)
    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 >

  • Open Access

    ARTICLE

    A Fixed-Point Iterative Method for Discrete Tomography Reconstruction Based on Intelligent Optimization

    Luyao Yang, Hao Chen, Haocheng Yu, Jin Qiu, Shuxian Zhu
    Computer Modeling in Engineering & Sciences, Vol.134, No.1, pp. 731-745, 2023, DOI:10.32604/cmes.2022.020656
    (This article belongs to this Special Issue: Advanced Intelligent Decision and Intelligent Control with Applications in Smart City)
    Abstract Discrete Tomography (DT) is a technology that uses image projection to reconstruct images. Its reconstruction problem, especially the binary image (0–1 matrix) has attracted strong attention. In this study, a fixed point iterative method of integer programming based on intelligent optimization is proposed to optimize the reconstructed model. The solution process can be divided into two procedures. First, the DT problem is reformulated into a polyhedron judgment problem based on lattice basis reduction. Second, the fixed-point iterative method of Dang and Ye is used to judge whether an integer point exists in the polyhedron of the previous program. All the… More >

  • Open Access

    ARTICLE

    Interpreting Randomly Wired Graph Models for Chinese NER

    Jie Chen, Jiabao Xu, Xuefeng Xi, Zhiming Cui, Victor S. Sheng
    Computer Modeling in Engineering & Sciences, Vol.134, No.1, pp. 747-761, 2023, DOI:10.32604/cmes.2022.020771
    (This article belongs to this Special Issue: Advanced Intelligent Decision and Intelligent Control with Applications in Smart City)
    Abstract Interpreting deep neural networks is of great importance to understand and verify deep models for natural language processing (NLP) tasks. However, most existing approaches only focus on improving the performance of models but ignore their interpretability. In this work, we propose a Randomly Wired Graph Neural Network (RWGNN) by using graph to model the structure of Neural Network, which could solve two major problems (word-boundary ambiguity and polysemy) of Chinese NER. Besides, we develop a pipeline to explain the RWGNN by using Saliency Map and Adversarial Attacks. Experimental results demonstrate that our approach can identify meaningful and reasonable interpretations for… More >

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