1. Methods of signal measurement and data collection using single-purpose hardware and PC computers, Digitization of analog signal and its retrospective reconstruction, importance of analog circuits in digital signal processing, dynamic measurements (measurement of periodic signals and one-time events, sampling frequency - Nyquist frequency, frequency measured signal band - frequency filters, sampling with frequency lower than Nyquist frequency, aliasing error). 2. Analog computers, autonomous measuring systems, distributed measuring systems, PC as a measuring and control unit, ensuring fault tolerance of computers, virtual measuring systems - LabView, communication interface, data bus, IoT Internet of Things. 3. Measuring boards to PC (their structure and possibilities of use, USB interface), galvanic separation of the measured signal (isolation amplifiers with transformer, capacitive and optoelectronic coupling, conversion of DC signals using U / faf / U converters), methods of ensuring linearity of conversion amplifiers, multiplexers (multi-input signal processing), sampling circuits (sample / hold), 4. Instrument amplifier with programmable gain, D / A and A / D converters (principles of using converters, methods of A / D conversion - converters with double integration, converter with gradual approximation, parallel converter). Data storage during measurement (data transfer via interrupt system, data storage in auxiliary memory). 5. Operational amplifiers and their applications for analog signal processing (properties of an ideal operational amplifier, possible sources of interfering signals in real OZ (input voltage asymmetry, input quiescent current, input current asymmetry, conversion characteristics - conversion speed). 6. Basic connection with OZ (inverting amplifier, non-inverting amplifier, voltage tracker, differential - instrument amplifier, derivative amplifier, integration amplifier, logarithmic amplifier). 7. Protection of OZ against overload of input and output of operational amplifier (exceeding of limit parameters), compensation of input residual voltage and quiescent current of OZ, earthing and shielding of connection with OZ, resistance of input lines against interference bound by capacitive and inductive coupling). 8. Control systems and regulators, basics of regulation and control of technological and laboratory processes, measurement of dynamic signals, signal sampling (block diagram of the controller - control circuit, discrete, continuous and hybrid control circuit - sampling period in direct digital control, analog controller, distributed systems . 9. Types of controller - two-state controller, P, I, PID controller, adaptive controller, stability of controlled system, system response, traffic delay. 10. Management of technological processes (starting and stopping the process, treatment of emergencies - real time system (Watch Dog)). Hardware reliability of the control system - fault tolerance, industrial computers (vibration protection, cooling with filtration, backup sources). 11. Basics of fuzzy logic for control, difference between binary and fuzzy logic, three-valued logic. 12. Fuzzy set - definition, universe x degree of truth, degree of affiliation. Basic operations with fuzzy sets (intersection, unification, complement). 13. Applications of fuzzy logic, fuzzy logic in control applications (system design procedure - fuzzification, evaluation of rules and criteria, defuzzification (center of gravity method).
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3. Jednoúčelové tématicky zaměřené publikace a firemní materiály firem Keithley, Analog Devices, Hewlett Packard a Tektronix..
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J. Pučochář. Operační zesilovače v elektronice. Praha, 1996.
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JURA, P. Základy fuzzy logiky pro řízení a modelování. VUTIUM - VUT Brno, 2003.
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M. Šícha, M. Tichý. Elektronické zpracování signálů - Základy analogové, digitální techniky. Praha, 1989.
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V. Novák. Základy Fuzzy modelování. Praha, 2000.
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Z. Strýhal, D. Sedlák. Elektronika, Studijní opora PřF UJEP. Ústí nad Labem, 2004.
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