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Lecturer(s)
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Macháček Miloslav, Ing. Ph.D.
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Honc Daniel, Ing. Ph.D.
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Course content
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Introduction - steady-state and dynamic behaviour. Mathematical models of engineering systems. Fundamentals laws - material balances - energy balances - equation of motion. Experimental identification. Time domain dynamics - linearization. Laplace transform and inversion of Laplace transforms. Initial and final value theorems. Frequency domain dynamics - Nyquist plots - Bode plots - Nichols plots. Feedback control. Stability amd performance of conventional feedback control system. Controller tuning.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Skills training
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Learning outcomes
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Introduction to automatic control theory and application.
Knowledge about first-principles modeling, experimental identification and control design.
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Prerequisites
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Differential and integral calculus.
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Assessment methods and criteria
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Oral examination, Written examination
Attending lectures and seminars, examination in form of oral and written test.
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Recommended literature
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DORF, R.C., BISHOP, R.H. Modern Control Systems, Addison - Wesley, Berkeley, 1998.
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LUYBEN, W.L. Process Modeling, Simulation and Control for chemical engineers, McGraw-Hill, New York, 1973.
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