Advanced Computational Methods for Intelligent Control Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "C2: Dynamical Systems".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 5
Special Issue Editor
Special Issue Information
Dear Colleagues,
For many years, proportional–integral–derivative (PID) control methods have been widely used in industrial systems due to their simplicity and effectiveness. However, modern intelligent systems—such as transportation systems, robotic systems, and power systems—are becoming increasingly complex. These systems often consist of multiple interconnected subsystems and exhibit highly nonlinear dynamics. Moreover, various disturbances, including external interferences, modeling inaccuracies, and parameter uncertainties, can significantly degrade control performance.
As a result, traditional PID control methods face limitations in effectively handling the demands of intelligent control systems. To address these challenges, there has been a surge in research focused on advanced computational methods. In recent years, new control techniques and applications have emerged to meet the needs of these complex systems.
Potential topics include, but are not limited to, the following:
- Novel modeling and validation techniques for intelligent control systems;
- State and parameter estimation in intelligent control systems;
- Advanced control strategies for intelligent control systems;
- Real-time implementation of modeling and control approaches;
- Integration of various techniques, including linear and nonlinear systems, hybrid and switched systems, networked control systems, game-theoretic methods, and knowledge-based approaches.
I look forward to receiving your contributions.
Dr. Youngseop Son
Guest Editor
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Keywords
- sliding mode control
- impedance control
- IMM-LPV control
- adaptive control
- probabilistic controller blending
- linear parameter-varying systems
- disturbance
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