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intelligence (AI) is used not merely to optimize control but to discover the physical principles governing nonlinear quantum dynamics. I. SCIENTIFIC VISION Conventional quantum architectures — superconduct- ing
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, based on simulation models in Aspen, COMSOL, etc. c. Control theory & applications — including nonlinear systems, MPC, reinforcement learning, stability analysis, etc.
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the computational component of multi-year applied research programs, including development and validation of nonlinear models, coordination of numerical studies, interpretation of results, and translation of research
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) at the Center for Vision, Automation & Control invites applications for a master thesis. We focus our research on modelling, simulation, analysis and optimsation and control of complex and dynamical industrial
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part of a new lab at the Delft Center for Systems and Control, supervised by Gabriel de Albuquerque Gleizer. The research will allow you to gain deep insights across nonlinear dynamics, optimization, and
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Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural
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selection criteria A solid theoretical background in nonlinear control and the control of marine vehicles or robotic systems. Additional training in machine learning methods is an advantage. Solid programming
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Modern autonomous ground vehicles (AGVs/UGVs) in defence operations require sophisticated AI/ML-based control systems for perception, decision-making, and adaptive responses in complex, unstructured
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OF THE PROJECT Control of Vibrations in Euler–Bernoulli Beams Using Metamaterial Supports: Toward Turbomachinery Blade Vibration Attenuation funded under the OPUS programme of the National Science Centre (NCN
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, future electricity prices, reservoir levels, cascade constraints, and the nonlinear relationship between water release and electricity production. Improving such decisions is essential for efficient