Sandra Yost
Papers
1
Total Citations
2
H-Index
1
About
Sandra Yost’s research focuses on real-time dynamic simulation, nonlinear system control, and the computational challenges of mechanical systems with kinematically closed loops—particularly in vehicle suspensions and robotics. Her most cited work, “Using Quasi-linearization for Real Time Dynamic Simulation of a Quarter Vehicle Suspension” (2007), addresses a critical bottleneck in simulating mechanisms like racing car suspensions: solving nonlinear differential algebraic equations (DAEs) in real time. By applying quasi-linearization techniques, Yost demonstrated a method to streamline these complex computations, enabling faster, more accurate simulations essential for vehicle dynamics and robotic arm control. Though her citation count remains modest, her contributions are foundational for engineers seeking to bridge theoretical nonlinear dynamics with practical, time-critical applications. Yost’s work underscores the importance of computational efficiency in mechanical design, offering a pathway to real-time analysis that directly impacts performance optimization in high-speed vehicles and precision robotics. Her research continues to influence simulation methodologies in automotive and automation industries.
Research Focus
Key Achievements
Top Papers
- 1