de Ag Bram Jager

Eindhoven University of Technology, Systems Technology (United States)

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About

Bram Jager is a control theorist whose work bridges the gap between model-based design and the practical realities of nonlinear and robotic systems. His research focuses on robust and adaptive control, with a particular emphasis on improving the precision and reliability of motion control in complex environments. Jager’s most cited work, "Second order sliding mode control with adaptation" (1994, 3 citations), introduces a novel scheme that augments a second-order sliding mode controller with an adaptive component, specifically designed to enhance tracking accuracy in nonlinear robotic systems. This approach, combining computed-torque-like adaptation with a second-order measure of performance, represents a significant contribution to the field of robust robot control. He further refined these ideas in "A systematic approach to improve robot motion control" (2002, 2 citations), which outlines a complete procedure from dynamic modeling and parameter identification to controller application. Additionally, his work "Data-based LQG control" (2004, 2 citations) tackles a fundamental question in control theory: the appropriateness of a model for control design, addressing the unreliability of mathematical models for complex systems. Through these contributions, Jager has advanced the practical application of adaptive and robust control, offering systematic solutions to improve robot motion accuracy.