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About

Wouter Aangenent is a leading figure in data-driven control and robotics, renowned for pioneering model-free approaches to feedback control design. His seminal 2005 work, "Data-based optimal control" (68 citations), introduced a groundbreaking algorithm that combines a data-based observer with an optimal feedback controller, using only input/output data to identify system Markov parameters—eliminating the need for traditional mathematical models. This foundational contribution has significantly advanced the field of motion systems control, as further explored in his 2005 paper on data-based control of motion systems (10 citations), which demonstrates how experimentation can replace complex modeling for linear feedback design. Beyond theoretical work, Aangenent has made a profound impact on competitive robotics as a key member of Tech United Eindhoven, leading the team to multiple RoboCup Middle-Size League championships (2014, 2016, 2019). These victories showcase his ability to translate cutting-edge control theory into real-world, high-performance autonomous systems. His work bridges the gap between data-driven algorithms and practical motion control, inspiring a new generation of researchers to explore model-free methodologies.