Advanced Applications Based on Nonlinear Optimal and Robust Control
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 756
Special Issue Editors
Interests: nonlinear optimal and robust control of nonlinear systems; intelligent robot design; nonlinear estimation
Special Issues, Collections and Topics in MDPI journals
Interests: AI applications; robot design; nonlinear optimal and robust control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to announce a Special Issue in Mathematics on "Advanced Applications Based on Nonlinear Optimal and Robust Control" methodologies. Nonlinear optimal and robust techniques have become instrumental in addressing the complex challenges across various domains. This Special Issue aims to showcase innovative applications that leverage these methodologies to push the boundaries of current research and practical implementations.
This Special Issue focuses on revealing advanced applications arising from the principles of nonlinear optimal and robust control. Contributions may include innovative applications in various domains, such as aerospace, robotics, and industrial processes. The goal is to highlight the practical impact and versatility of nonlinear optimal and robust control methodologies in addressing complicated dynamical systems. This Special Issue invites researchers, scholars, and practitioners to contribute original articles and reviews exploring advanced applications emerging from nonlinear optimal and robust methodologies. The topics of interest include, but are not limited to, the following:
Topics of Interest:
- Novel applications of nonlinear optimal control in real-world scenarios;
- Robust control strategies applied to challenging and uncertain environments;
- Integration of nonlinear control techniques in aerospace and aeronautics;
- Applications of robust control in autonomous systems and robotics;
- Nonlinear control approaches for enhancing performances of industrial processes;
- Case studies demonstrating the effectiveness of nonlinear optimal and robust control.
Dr. Yung-Yue Chen
Dr. Yung-Hsiang Chen
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. Mathematics 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.
Keywords
- nonlinear optimal control
- robust control
- control applications
- aerospace systems
- robotics
- industrial processes
- autonomous systems
- dynamic systems
- real-world scenarios
- performance enhancement
- uncertain environments
- case studies
- applications in aeronautics
- control methodologies
- system dynamics
- innovative control strategies
- complex systems
- nonlinear control techniques
- practical impact
- versatility in control applications
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