New Frontiers in Fuzzy Neural Networks Adaptive Control
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F5: Artificial Intelligence and Smart Energy".
Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 288
Special Issue Editors
Interests: fuzzy control; nonlinear systems; modeling and simulations
Special Issues, Collections and Topics in MDPI journals
Interests: image processing; optimal control; robust control; advanced vehicle safety assistant systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The aim of this Special Issue is to present the state-of-the-art results in the area of fuzzy neural networks adaptive control. Adaptive control is a technique of applying some methods to obtain a model of the process and using this model to design a controller. Especially, fuzzy neural networks adaptive 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 adaptive 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 neural networks adaptive 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 adaptive systems.
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. Tsung-Chih Lin
Prof. Dr. Yu-Chen Lin
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. Energies 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 2600 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.
