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Applied Sciences
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Fuzzy Control: Recent Progress toward the Identification of Widespread Application...
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Fuzzy Control: Recent Progress toward the Identification of Widespread Application Areas for Smart City Projects

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 1419

Special Issue Editors

Dr. Arshad Jamal

E-Mail Website
Guest Editor
Traffic and Transportation Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
Interests: road safety; accident analysis; traffic simulation; transportation planning shared mobility; traffic flow and operations; machine learning
Special Issues, Collections and Topics in MDPI journals
Dr. Meshal Almoshaogeh

E-Mail Website
Guest Editor
Civil Engineering Department, College of Engineering, Qassim University, Buraidah, Saudi Arabia
Interests: intelligent transportation system; traffic operations and management; traffic safety; travel behavior; traffic simulation; optimization
Dr. Irfan Ullah

E-Mail Website
Guest Editor
Transportation Engineering College, Dalian Maritime University, Dalian, China
Interests: transport modeling and simulation; sustainable cities; sharing mobility (car sharing, ride sharing, customized bus, electric vehicles, autonomous vehicles); traffic safety; traffic engineering; travelers’ behavior; intelligent transportation systems; logistics and supply chain management; operational research
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Urban mobility is crucial for the ecosystems of complex smart cities, and identifying factors that aid the development of smart cities is essential. The concept of a smart city is proposed to handle these difficulties and promote sustainable growth as cities attempt to deal with several urban challenges, such as traffic congestion and environmental pollution. Smart city initiatives frequently lack a decision-making framework to define priorities for development and manage the inherent uncertainty surrounding difficulties encountered in application areas. The selection of cities for smart city transformation and business models for creating smart cities are often viewed as challenges associated with fuzzy sets in smart cities. Information and data obtained via a smart city sensor network are used to manage assets, resources and services, which in turn, improve operations across the city. Reducing emergency services response times in smart cities through automated and e-mobility services is vital for achieving the long-term sustainable goals of smart cities. To assess and address numerous issues such as these, a variety of fuzzy decision-making strategies can be applied. This Special Issue focuses on recent advances in fuzzy control for widespread applications of smart cities projects, and includes but is not limited to the following topics.

Dr. Arshad Jamal
Dr. Meshal Almoshaogeh
Dr. Irfan Ullah
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • smart cities
  • smart mobility
  • fuzzy control applications for ITS
  • fuzzy logic for drivers’ behavioral assessment and safety
  • automated and electric mobility services
  • fuzzy decision-making strategies for widespread smart city projects

Published Papers (1 paper)

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Research

19 pages, 823 KiB  
Article
Adaptive Recursive Sliding Mode Control (ARSMC)-Based UAV Control for Future Smart Cities
by Nadir Abbas, Zeshan Abbas and Xiaodong Liu
Appl. Sci. 2023, 13(11), 6790; https://doi.org/10.3390/app13116790 - 02 Jun 2023
Cited by 4 | Viewed by 988
Abstract
The rapid expansion of the Internet and communication technologies is leading to significant changes in both society and the economy. This development is driving the evolution of smart cities, which utilize cutting-edge technologies and data analysis to optimize efficiency and reduce waste in [...] Read more.
The rapid expansion of the Internet and communication technologies is leading to significant changes in both society and the economy. This development is driving the evolution of smart cities, which utilize cutting-edge technologies and data analysis to optimize efficiency and reduce waste in their infrastructure and services. As the number of mobile devices and embedded computers grows, new technologies, such as fifth-generation (5G) cellular broadband networks and the Internet of Things (IoT), are emerging to extend wireless network connectivity. These cities are often referred to as unmanned aerial vehicles (UAVs), highlighting their innovative approach to utilizing technology. To address the challenges posed by continuously varying perturbations, such as unknown states, gyroscopic disturbance torque, and parametric uncertainties, an adaptive recursive sliding mode control (ARSMC) has been developed. The high computational cost and high-order nonlinear behavior of UAVs make them difficult to control. The controller design is divided into two steps. First, a confined stability analysis is performed using controllability and observability to estimate the system’s stability calculation. Second, a Lyapunov-based controller design analysis is systematically tackled using a recursive design procedure. The strategy design aims to enhance robustness through Lyapunov stability-based mathematical analysis in the presence of considered perturbations. The ARSMC introduces new variables that depend on state variables, controlling parameters, and stabilizing functions to minimize unwanted signals and compensate for nonlinearities in the system. The paper’s significant contribution is to improve the controlled output’s rise time and stability time while ensuring efficient robustness. Full article
(This article belongs to the Special Issue Fuzzy Control: Recent Progress toward the Identification of Widespread Application Areas for Smart City Projects)
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