Found 12 relevant results in 2.22s where lecturer="Raffaello D'Andrea"
- Team-based, project-based Systems Engineering practicum with a focus on system design and integration, dynamical systems, and control. Teams of students -- in conjunction with researchers and outside experts -- conceptualize, design, and construct novel, state-of-the-art machines of motion.
- Team-based, project-based Systems Engineering practicum with a focus on system design and integration, dynamical systems, and control. Teams of students -- in conjunction with researchers and outside experts -- conceptualize, design, and construct novel, state-of-the-art machines of motion.
- Team-based, project-based Systems Engineering practicum with a focus on system design and integration, dynamical systems, and control. Teams of students -- in conjunction with researchers and outside experts -- conceptualize, design, and construct novel, state-of-the-art machines of motion.
- Team-based, project-based Systems Engineering practicum with a focus on system design and integration, dynamical systems, and control. Teams of students -- in conjunction with researchers and outside experts -- conceptualize, design, and construct novel, state-of-the-art machines of motion.
- Team-based, project-based Systems Engineering practicum with a focus on system design and integration, dynamical systems, and control. Teams of students -- in conjunction with researchers and outside experts -- conceptualize, design, and construct novel, state-of-the-art machines of motion.
Introduction to Dynamic Programming and Optimal Control.
Introduction to Dynamic Programming and Optimal Control.
Students develop and build a product from A-Z! They work in teams and independently, learn to structure problems, to identify solutions, system analysis and simulations, as well as presentation and documentation techniques. They build the product with access to a machine shop and state of the art engineering tools (Matlab, Simulink, etc).
Measurement is a fundamental skill in most fields of scientific work and technological development. We deal with the subject of measurement and instrumentation on a fundamental basis, leading from the basic concepts and principles of measurement science through to system theory, theory of errors, discretisation, quantisation, sensor principles and model based measurement.
Estimation of the state of a dynamic system based on a model and observations in a computationally efficient way.
Stochastic Systems
Stochastische Systeme
Probability. Stochastic processes. Stochastic differential equations. Ito. Kalman filters. Stochastic optimal control. Applications in financial engineering (asset and liability management).
Overview of Mechatronics topics and study subjects. Identification of minimum 10 pertinent refereed articles or works in the literature in consultation with supervisor or instructor. After 4 weeks, submission of a 2-page proposal outlining the value, state-of-the art and study plan based on these articles. After feedback on the substance and technical writing by the instructor, project commences.