Neural Networks-Based Modeling and Control for Uncertain Dynamical Systems

Dear Colleagues,

As a powerful tool for modeling uncertain dynamical systems, the technique of neural networks has been used broadly in many important areas, e.g., aerospace, high-speed trains, navigation, numerical control machine, industrial robots, power systems, etc. Unlike traditional canonical-form nonlinear systems, however, neural networks-based nonlinear systems can have noncanonical forms, for which the existing Lyapunov-based design and analysis approaches may not be applicable any longer, and many new control problems and technical challenges need to be investigated and addressed. Furthermore, when actuators are subject to some nonlinear constraints, e.g., saturation, deadzone, backlash, and hysteresis, a complete design and analysis framework for neural networks-based systems has not yet been established. Due to the considerations above, this Special Issue aims to bring together researchers, scholars, and engineers to discuss and share their latest advancements, findings, and experiences in the field.

This Special Issue will include, but is not limited to, the following topics relevant to AFTC:

• Neural networks;
• Machine learning;
• System modeling;
• Nonlinear systems;
• Intelligent control;
• Model predictive control;
• Robust adaptive control;
• Adaptive fault-tolerant control;
• Stability analysis;
• Multi-agent systems;
• Power systems;
• Industrial robots or mobile robots.

Dr. Guanyu Lai
Dr. Fang Wang
Dr. Weijun Yang
Dr. Hanzhen Xiao
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 250 words) can be sent to the Editorial Office for assessment.

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. Actuators 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.