Algorithmic Approaches to Control Theory and System Modeling
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: 1 December 2025 | Viewed by 66
Special Issue Editors
Interests: control; simulation; optimization; fractional calculus; evolutionary algorithms; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: PID control; intelligent control; control engineering education; evolutionary and natural inspired metaheuristics for single and multiple objective optimisation problem solving
Special Issues, Collections and Topics in MDPI journals
Interests: photovoltaic systems; fractional order control systems; fuzzy control systems; evolutionary algorithms
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Control theory and systems modeling analyze, design, and optimize systems that use feedback mechanisms to achieve specific goals. Classical control methods typically rely on differential equations to develop mathematical models of systems. Recently, there has been a significant increase in the use of fractional-order models using non-integer differential equations to capture more accurate system dynamics, improving control performance. Over the years, algorithmic approaches have evolved to complement classical techniques, increasing efficiency, robustness and adaptability in the control of complex systems. The latest developments in machine learning and artificial intelligence are revolutionizing thinking around control theory and system modeling.
This Special Issue invites submissions on emerging topics and innovative approaches highlighting the latest advancements in control theory and system modeling. We welcome contributions that delve into both theoretical developments and real-world applications in these fields.
Prof. Dr. Ramiro Barbosa
Dr. Paulo Moura Oliveira
Prof. Dr. Isabel Jesus
Guest Editors
Manuscript Submission Information
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Keywords
- system modeling and simulation
- linear and nonlinear models
- modeling of integer and fractional-order systems
- data-driven modeling
- reduced-order modeling
- hybrid systems modeling
- evolutionary algorithms
- optimal control
- PID control
- model predictive control
- fractional-order control
- machine learning for modeling and control
- deep learning for modeling and control
- neural networks for modeling and control
- robust control
- adaptive control
- nonlinear control
- reinforcement learning for modeling and control
- fuzzy logic for modeling and control
- system identification
- metaheuristic algorithms
- artificial intelligence for modeling and control
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