Mahdi Bayati
Papers
3
Total Citations
28
H-Index
2
About
Mahdi Bayati is a control systems researcher specializing in advanced robotics and power system optimization. His primary research focuses on developing robust control strategies for cooperative robotic systems, particularly addressing the challenges of uncertainty in multi-robot manipulation tasks. Bayati’s most influential work introduces fuzzy sliding mode controllers and higher-order sliding mode controllers for cooperative robots handling objects with known geometry, leveraging passive decomposition to decouple dynamic equations and enhance system stability. These contributions, each cited 13 times, provide practical frameworks for managing complex robot interactions under uncertain dynamics. Additionally, Bayati has explored power system optimization, proposing a novel Simulink-based technique for multi-area frequency control. His work bridges theoretical control design with real-world implementation, offering accessible tools for researchers and engineers. By combining genetic algorithms with sliding mode control, Bayati demonstrates a commitment to optimizing performance in nonlinear, uncertain environments. His research is particularly valuable for students and practitioners in robotics and power systems seeking robust, implementable solutions to dynamic control challenges.
Research Focus
Key Achievements
Top Papers
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