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Processes
Special Issues
Fuzzy Control System: Design and Applications
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Fuzzy Control System: Design and Applications

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".

Deadline for manuscript submissions: 25 August 2025 | Viewed by 1902

Special Issue Editor

Prof. Dr. Wen-Jer Chang

E-Mail Website
Guest Editor
Department of Marine Engineering, National Taiwan Ocean University, Keelung 202, Taiwan
Interests: marine engineering; electrical engineering; system engineering; control engineering; intelligent control; fuzzy theory and control; multimedia application
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is dedicated to exploring the innovative uses of fuzzy logic systems for the design of control systems and their practical applications. It presents a pivotal opportunity to advance decision-making processes in areas where conventional binary logic often proves inadequate. The focus will be on theoretical and practical innovations, applying fuzzy logic to enhance control design and applications for controlled systems. We welcome contributions that detail the development of new fuzzy-based models, algorithms, and frameworks. Additionally, we encourage papers that combine fuzzy logic with other areas of computational intelligence, such as neural networks, genetic algorithms, and machine learning, to develop hybrid intelligent systems. These systems are especially beneficial in complex environments characterized by large datasets and high levels of uncertainty, typical in sectors like predictive analytics and automated control systems. This Special Issue aims to compile a wide range of research, spanning from fundamental theories to practical applications, illustrating the effectiveness and flexibility of fuzzy systems in addressing the complexities of contemporary control challenges.

This Special Issue, entitled “Fuzzy Control System: Design and Applications”, seeks to underscore recent progress in leveraging fuzzy logic for better decision-making, enhancing control theory and applications, and refining control processes. By utilizing fuzzy logic, known for its adeptness at managing uncertainty and imprecision, this Issue aims to tackle sophisticated challenges across various fields. The areas of interest for this issue include, but are not limited to, the following:

  1. Enhancements in strategic decision-making and management through fuzzy logic applications;
  2. Integration of fuzzy logic into control systems to achieve more adaptive and robust outcomes;
  3. Theoretical and practical exploration of fuzzy systems within control processes.

Prof. Dr. Wen-Jer Chang
Guest Editor

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. Processes is an international peer-reviewed open access monthly 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

  • advanced fuzzy theory
  • control design and application
  • hybrid intelligent systems
  • type-2 fuzzy control
  • fuzzy system optimization
  • intelligent machine learning

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Published Papers (2 papers)

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Research

25 pages, 1585 KiB  
Article
Fuzzy Control of Multivariable Nonlinear Systems Using T–S Fuzzy Model and Principal Component Analysis Technique
by Basil Mohammed Al-Hadithi and Javier Gómez
Processes 2025, 13(1), 217; https://doi.org/10.3390/pr13010217 - 14 Jan 2025
Viewed by 477
Abstract
In this work, a new nonlinear control method is proposed, which integrates the Takagi–Sugeno (T–S) fuzzy model with the Principal Component Analysis (PCA) technique. The approach uses PCA to reduce the system’s dimensionality, minimizing the number of fuzzy rules required in the T–S [...] Read more.
In this work, a new nonlinear control method is proposed, which integrates the Takagi–Sugeno (T–S) fuzzy model with the Principal Component Analysis (PCA) technique. The approach uses PCA to reduce the system’s dimensionality, minimizing the number of fuzzy rules required in the T–S fuzzy model. This reduction not only simplifies the system variables but also decreases the computational complexity, resulting in a more efficient control with smooth transient responses and zero steady-state error. To validate the performance of this PCA-based approach for both system identification and control, an interconnected double-tank system was employed. The results demonstrate the method’s capacity to maintain control accuracy while reducing computational load, making it a promising solution for applications in industrial and engineering systems that require robust, efficient control mechanisms. Full article
(This article belongs to the Special Issue Fuzzy Control System: Design and Applications)
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29 pages, 4318 KiB  
Article
Adaptive Integral Sliding Mode Control with Chattering Elimination Considering the Actuator Faults and External Disturbances for Trajectory Tracking of 4Y Octocopter Aircraft
by Samir Zeghlache, Hilal Rahali, Ali Djerioui, Hemza Mekki, Loutfi Benyettou and Mohamed Fouad Benkhoris
Processes 2024, 12(11), 2431; https://doi.org/10.3390/pr12112431 - 4 Nov 2024
Viewed by 1004
Abstract
This paper presents a control strategy for a 4Y octocopter aircraft that is influenced by multiple actuator faults and external disturbances. The approach relies on a disturbance observer, adaptive type-2 fuzzy sliding mode control scheme, and type-1 fuzzy inference system. The proposed control [...] Read more.
This paper presents a control strategy for a 4Y octocopter aircraft that is influenced by multiple actuator faults and external disturbances. The approach relies on a disturbance observer, adaptive type-2 fuzzy sliding mode control scheme, and type-1 fuzzy inference system. The proposed control approach is distinct from other tactics for controlling unmanned aerial vehicles because it can simultaneously compensate for actuator faults and external disturbances. The suggested control technique incorporates adaptive control parameters in both continuous and discontinuous control components. This enables the production of appropriate control signals to manage actuator faults and parametric uncertainties without relying only on the robust discontinuous control approach of sliding mode control. Additionally, a type-1 fuzzy logic system is used to build a fuzzy hitting control law to eliminate the occurrence of chattering phenomena on the integral sliding mode control. In addition, in order to keep the discontinuous control gain in sliding mode control at a small value, a nonlinear disturbance observer is constructed and integrated to mitigate the influence of external disturbances. Moreover, stability analysis of the proposed control method using Lyapunov theory showcases its potential to uphold system tracking performance and minimize tracking errors under specified conditions. The simulation results demonstrate that the proposed control strategy can significantly reduce the chattering effect and provide accurate trajectory tracking in the presence of actuator faults. Furthermore, the efficacy of the recommended control strategy is shown by comparative simulation results of 4Y octocopter under different failing and uncertain settings. Full article
(This article belongs to the Special Issue Fuzzy Control System: Design and Applications)
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