Tulga Ersal
Papers
2
Total Citations
39
H-Index
2
About
Tulga Ersal is a leading researcher in the modeling, simulation, and control of complex engineering systems, with a particular focus on autonomous ground vehicles and energy management. His major contributions lie at the intersection of model fidelity and real-time decision-making, most notably in the development of model predictive control (MPC) strategies for hazard avoidance in unmanned ground vehicles (UGVs). His influential 2013 paper on this topic, which has garnered 36 citations, demonstrates how varying model accuracy can be leveraged to improve safety and performance in dynamic environments. Ersal has also advanced the field of battery and mission management for mobile robots, co-authoring a 2014 study that outlines integrated approaches to extend operational endurance through optimal energy tracking and mission planning. His work is characterized by a systems-level perspective, combining theoretical rigor with practical implementation. Affiliated with the University of Michigan’s Automotive Research Center, Ersal’s research continues to shape the next generation of autonomous systems, making him a key figure for students and researchers interested in control theory, robotics, and sustainable mobility.
Research Focus
Key Achievements
Top Papers
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