Zahra Khakpour

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About

Zahra Khakpour is a researcher whose work bridges control theory, parameter estimation, and biomechanical modeling. Her primary research areas include adaptive control systems, real-time parameter estimation, and multibody dynamics for human motion simulation. Khakpour’s most significant contribution is the development of the **Short-Time Linear Quadratic Form Technique**, introduced in her 2015 paper, which enables the estimation of fast-varying parameters in feedback loops. This method addresses a critical challenge in closed-loop control systems—tracking rapidly changing plant dynamics to improve controller precision and robustness. The work has garnered 10 citations, reflecting its relevance to adaptive control and system identification. In 2017, she expanded into biomechanics with a multibody dynamics model of a full human body for simulating walking, a study that connects robotics and orthopedics by providing a framework for analyzing gait and designing assistive devices. Though less cited, this work demonstrates her versatility in applying dynamic systems theory to real-world human motion. Khakpour’s research is valuable for students and engineers interested in advanced control algorithms, system identification, and the intersection of robotics and biomechanics.