. "Systems theory"@en . . "4.00" . "Course Contents During this course the following topics will be covered:\nState-space representation of input-output system (both for continuous-time and discrete-time case).\nLinearization of a system.\nSolution of a linear system (both for continuous-time and discrete-time case).\nImpulse response and step response of a linear system (both for continuous-time and discrete-time case).\nAsymptotic stability, BIBO stability (both for continuous-time and discrete-time case).\nControllability and observability (both for continuous-time and discrete-time case).\nKalman decomposition.\nState feedback (both for continuous-time and discrete-time case).\nState reconstruction by observer (both for continuous-time and discrete-time case).\nSystem description in frequency domain.\nComposition of systems in frequency domain.\nRealization of transfer function.\nStudy Goals After a successful completion of the course you will be able to\nmodel an input-output system by a state space model (both for continuous-time and discrete-time case).\nlinearize a system around a given solution.\ndetermine whether an equilibrium point of a linear system is asymptotically stable, weakly stable or unstable (both for\ncontinuous-time and discrete-time case).\ncompute the solution of a linear time-invariant system (both for continuous-time and discrete-time case).\ncompute the impulse response and the step response of a linear time-invariant system (both for continuous-time and discrete-time\ncase).\ndetermine whether or not a linear system is controllable (both for continuous-time and discrete-time case).\ndetermine whether or not a linear system is observable (both for continuous-time and discrete-time case).\nconstruct a Kalman decomposition of a linear system.\ndesign a feedback control (if it exists) which makes an unstable system stable or one which reduces the effect of disturbing\nsignals (both for continuous-time and discrete-time case).\ndesign an observer (if it exists) which produces an approximation of the state of the system such that the error converges to zero\n(both for continuous-time and discrete-time case).\nrepresent a linear system in the frequency domain.\nconstruct various realizations of a given transfer function." . . "Presential"@en . "TRUE" . . "Guidance, Navigation And Control For Space Systems (gncss)"@en . . . . . . . . . . . . . . "Master in Aerospace engineering"@en . . "Luchtvaart- en Ruimtevaarttechniek (tudelft.nl)" . "120"^^ . "Presential"@en . "In the MSc programme in Aerospace Engineering, you will have abundant opportunities for working on projects and internships across the globe, taking advantage of established relationships with Schiphol Airport, the European Space Agency, KLM, Airbus and other aerospace industries and research institutes. You will also have the option of working as a team member in international competitions in extra-curricular activities.\n\nAt TU Delft, you will obtain hands-on experience whilst working in test and laboratory facilities that are unsurpassed in Europe. Our facilities include low-speed and high-speed (up to Mach 11) wind tunnels, GPS measurement stations, the Structures and Materials Laboratory, the SIMONA research flight simulator, a Cessna Citation II flying laboratory, a collection of large and small aircraft and spacecraft parts, the Delfi Ground Station for satellite communications and a clean room for research and training on our own university satellites."@en . . . . . . . . . "2"@en . "FALSE" . . "Master"@en . "Thesis" . "2314.00" . "Euro"@en . "20560.00" . "Mandatory" . "no data"@en . "6"^^ . "TRUE" . "Upstream"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .