Optimization, Navigation and Automatic Control of Intelligent Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 365
Special Issue Editors
Interests: automatic control; artificial intelligence; power system control; renewable energies
Special Issues, Collections and Topics in MDPI journals
Interests: power electronics; control of power electronic converters; FACTS devices; power quality
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of intelligent systems has revolutionized various domains, including robotics, autonomous vehicles, industrial automation, and smart infrastructure. To enhance the efficiency, reliability, and adaptability of such systems, cutting-edge research in optimization, navigation, and automatic control is essential. This Special Issue aims to compile innovative contributions that address key challenges and propose novel solutions in these areas. Topics of interest include, but are not limited to, advanced control algorithms, machine learning-based optimization, path planning and navigation for autonomous systems, real-time decision-making, and adaptive control strategies. Papers on both theoretical developments and practical applications are welcome, with a focus on improving the performance, robustness, and autonomy of intelligent systems.
This Special Issue seeks to foster interdisciplinary collaboration among researchers working in control theory, artificial intelligence, robotics, and related fields, providing a platform for the sharing of insights and advancements that push the boundaries of intelligent automation.
Prof. Dr. Carlos E. Castañeda
Prof. Dr. Antonio Valderrabano-Gonzalez
Guest Editors
Manuscript Submission Information
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Keywords
- intelligent control systems
- optimization algorithms
- autonomous navigation
- adaptive and nonlinear control
- machine learning in control systems
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