Teaching in the Winter Semester 22/23

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Measurement and Control Theory

Basic terminology, measurement technology tasks, measuring chain
Measurement statistics (modeling, probability and distribution functions, confidence interval and complete measurement result, deviation propagation, linear fit and correlation)
Stationary and dynamic properties of measuring equipment (stationary characteristic measurement curve, compensation methods, spline interpolation and smoothing splines, sensitivity, differential principle)
Resistance measuring bridges (adjustment procedures, deflection procedures, strain gauges)
Fourier series and Fourier transformation (derivation, properties, convolution theorem, time frame, examples of applications, filters, carrier frequency procedures)
Scanning of measurement signals (discrete-time Fourier transformation, aliasing, reconstruction, discrete Fourier transformation)

Fundamentals and modeling of technical systems
Description of dynamic systems in the time domain (LTI systems, causal systems, differential equations to describe dynamic systems, linearization, block diagrams, solution in time domain, test functions)
State space representation (normal forms, controllability, observability, stability, homogeneous and particulate solutions)
Description of dynamic systems in the frequency range (Laplace transformation, transfer function, matrix transfer function, locus, Bode plot, amplitude and phase margin)
Control circuit (types of recirculation, stationary behavior and lasting offset, stability of control circuit, Nyquist procedure, root locus plot)
Setting/adjusting controllers (assigning poles, optimum control, heuristic processes)