Manuscript Topics

The area of control and its applications have undergone impactful developments in recent decades. Techniques such as fractional calculus, artificial intelligence, machine learning, deep learning, and data-driven approaches have emerged as powerful tools for solving complex problems. These methodologies have been widely applied in many areas of science and engineering, including electrical engineering, mechanical systems, aerospace, automated driving, robotics, chemistry, physics, finance, biology, medicine, music, and more.

The aim of this special issue is to provide a platform for disseminating and sharing the latest research, focusing on recent advances in algorithms for control and their applications. The scope of this special issue includes topics such as (but not limited to):
- Convergence and stability analysis
- Systems modeling
- Dynamical systems
- Optimal control theory
- Fractional calculus
- Fractional-order control
- Model predictive control
- Ordinary differential equations
- Partial differential equations
- Fractional-order differential equations
- Fractional delayed systems
- Data-driven techniques
- Machine learning
- Deep learning
- Reinforcement learning
- Intelligent algorithms
- Neural networks
- Sliding mode predictive control
- Fuzzy control
- Nonlinear control
- Control theory
- Control applications
- Optimization control algorithms
- Robust and adaptive control
- Numerical algorithms

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