Papers
5
Total Citations
29
H-Index
4
About
Reza Shiri is a control systems researcher specializing in robust and intelligent control strategies for robotic systems, with a particular focus on sliding mode control (SMC) and its advanced variants. His work addresses one of the most persistent challenges in robotics: effectively controlling systems subject to parameter uncertainty, external disturbances, and complex nonlinear dynamics. Shiri's most significant contributions center on the development of non-singular terminal sliding mode (NTSM) controllers, which guarantee finite-time convergence while avoiding the singularity problems that plague conventional terminal SMC designs. His 2017 work on wheeled mobile manipulators demonstrated elegant solutions for coordinating both a mobile base and its mounted robotic arm within a unified control framework. Complementing this, his investigations into finite-time state-dependent Riccati equations (FTSDRE) offered valuable comparative insights into optimal versus sliding mode approaches for n-DOF manipulators. A recurring theme across his research is adaptive gain design — developing SMC architectures that intelligently adjust control gains in response to uncertainty rather than relying on conservative fixed values. His 2019 contribution introduced a novel time-setting approach to terminal SMC, enabling engineers to specify a precise convergence deadline as a direct design input. With citations accumulating across robotics and control engineering communities, Shiri's work provides practical, theoretically grounded tools for next-generation robotic control systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5