Optimization, Control and Modeling in Robotics and Vehicle Dynamics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 5
Special Issue Editor
Special Issue Information
Dear Colleagues,
The increasing complexity of robotic systems and autonomous vehicles has positioned mathematical modeling and automatic control as research areas of significant scientific and technological relevance. The intersection of these disciplines forms a critical foundation for addressing the challenges associated with optimization, design, operation, and decision-making in dynamic, uncertain, and computationally demanding environments.
This Special Issue invites contributions that advance mathematical modeling methodologies and explore optimal, robust, adaptive, and other control strategies. We particularly welcome studies that integrate rigorous theoretical analysis with design, development, and experimental implementation—whether in prototypes or technological applications—demonstrating the central role of mathematics in unifying predictive models, control algorithms, and real-time decision architectures.
By bringing together this Special Issue, we seek not only to highlight the importance of mathematical rigor in the development of robotics and autonomous vehicle technologies but also to foster interdisciplinary dialogue among researchers and practitioners. Such collaboration is essential for advancing precise, safe, and efficient solutions that will continue to drive the evolution of robotics and vehicular autonomy in both scientific and industrial contexts.
Dr. Ricardo López-Gutiérrez
Guest Editor
Manuscript Submission Information
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Keywords
- mathematical modeling
- robotics
- autonomous vehicles
- optimal control
- adaptive control
- robust control
- feedback control
- predictive control
- intelligent control
- multi-agent control
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