Special Issue "Fuzzy Control Systems: Theory and Applications"
Deadline for manuscript submissions: closed (31 August 2021) | Viewed by 4918
Interests: fuzzy logic; type-2 fuzzy logic; fuzzy control; hybrid intelligent systems
Special Issues, Collections and Topics in MDPI journals
Special Issue in Axioms: Type-2 Fuzzy Logic: Theory, Algorithms and Applications
Special Issue in Axioms: 10th Anniversary of Axioms: Logic
Special Issue in Mathematics: Advances and Application of Fuzzy Sets, Decision Making and Soft Computing
In 1965, Prof. L. Zadeh introduced the concept of Fuzzy Sets (FSs) to represent uncertain system parameters. However, in many real-world systems, uncertainty appears due to multiple reasons. In such a scenario, uncertainty modeling capabilities of the Type 1 (T1) or traditional FSs are quite limited. Due to this, Zadeh himself introduced the concept of Type-2 FSs in 1975. However, for more than a decade, these types of FSs received very little attention from the scientific community. Interestingly, from 1990, researchers started investigating T2 FSs, or more specifically Interval Type-2 (IT2) FSs, and successfully applied the same for realistic uncertainty modeling in a number of applications.
The aim of this Special Issue is to present the state-of-the-art results in the area of intelligent control theory and applications. Intelligent control is a technique of applying some methods to obtain a model of the process and using this model to design a controller. In particular, fuzzy control has been an important area of active research. Significant developments have been seen, including theoretical success and practical design. One of the reasons for the rapid growth of fuzzy control is its ability to control plants with uncertainties during its operation.
The papers in this Special Issue will present the most advanced techniques and algorithms of fuzzy control. These include various robust techniques, performance enhancement techniques, techniques with less a priori knowledge, and nonlinear intelligent adaptive control techniques. This Special Issue aims to provide an opportunity for international researchers to share and review recent advances in the foundations, integration architectures, and applications of hybrid and fuzzy systems in control.
The main aim of this Special Issue is to organize a forum to provide innovative approaches to handle various fuzzy controllers, adaptive control strategies, time-delay nonlinear systems, cooperative control, and hybrid intelligent control. We want to offer an opportunity for researchers and practitioners to identify new promising research directions in this area.
Prof. Dr. Oscar Castillo
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. Axioms 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.
- Type-1 fuzzy control
- Type-2 fuzzy control
- fuzzy neural networks in control
- metaheuristics in fuzzy control
- evolutionary fuzzy control
- genetic fuzzy control
- fuzzy PID control
- robot control