Mohammad Bashiri
Papers
1
Total Citations
2
H-Index
1
About
Mohammad Bashiri is a control systems researcher whose work bridges game theory and advanced controller design for uncertain dynamical systems. His primary research areas include differential game theory, observer-based control, and linear quadratic regulator (LQR) optimization. Bashiri’s most notable contribution is a novel algorithm that reformulates observer error dynamics using a Nash differential game approach, enabling simultaneous design of observer gains and LQR controllers for systems with unknown model uncertainties. This work, published in 2025, has already garnered 2 citations, signaling early impact in the control engineering community. By integrating game-theoretic principles into classical control frameworks, Bashiri addresses a critical challenge: robust performance under incomplete state information. His approach offers a systematic method for handling uncertainties without sacrificing optimality, making it particularly valuable for applications in autonomous systems, robotics, and industrial process control. Bashiri’s research stands out for its mathematical rigor and practical relevance, providing engineers with a powerful tool for designing reliable, high-performance controllers in real-world environments where perfect system knowledge is unattainable.
Research Focus
Key Achievements
Top Papers
- 1