Matthew Brusstar

Papers

Total Citations

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About

Matthew Brusstar is a researcher whose work focuses on the intersection of electrified powertrains, control systems, and energy optimization. His key research areas include regenerative braking, velocity trajectory optimization, and nonlinear control system synthesis for mobile robotics and automotive applications. Brusstar’s major contribution lies in demonstrating how regenerative braking can be strategically integrated into velocity planning over varying road grades, enhancing energy efficiency in electrified vehicles. His most-cited paper, "Role of Regenerative Braking in Velocity Trajectory Optimization of Electrified Powertrains over varying Road Grades" (2018), has garnered 2 citations and explores advanced topics such as closed-loop systems, predictive control, and robust control for position and actuator feedback. This work underscores his ability to bridge theoretical control design with practical powertrain challenges. Brusstar’s research is particularly notable for its emphasis on real-world terrain variability, offering insights that could improve autonomous vehicle navigation and energy management. While his citation count is modest, his contributions are foundational for researchers seeking to optimize energy recovery in dynamic environments. His work continues to influence the development of efficient, feedback-driven control strategies in electrified mobility.