Technical Advances in Optimal Control and Controller Design
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 May 2024 | Viewed by 1196
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue focuses on optimal control and controller design. The goal is to present new trends in the field of automatic control that use recent evolutionary or neural techniques, either as a standalone approach or combined with state-of-the-art controllers. The findings of this Special Issue include exploratory studies (even if they are computational), theoretical studies, and experimental studies.
Full-length articles containing the latest relevant findings are encouraged. Review articles can be considered in exceptional circumstances. Studies that focus on swarm controllers, hardware/software development for controllers’ performance improvements, evolutionary controllers, and high-performance hardware/firmware for control applications, among others, are welcome. The target systems could be single-input single-output (SISO), and multi-input multi-output (MIMO).
Dr. António José Ramos Silva
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. 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
- adaptive control systems
- stochastic systems
- optimization method
- artificial intelligence
- network architecture
- reinforcement learning
