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Lecturer(s)
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Course content
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Conception and basic principles, mathematical-physical analysis, experimental identification. Simple models examples - hydraulic, thermal, mechanical, electrical systems. Types of nonlinearities, linearization. Controlled process and controller simulation. Feed-forward control. Feedback control - on/off controller, PID controller. Continuous-time and discrete control. Hybrid systems.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Methods of individual activities, Skills training
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Learning outcomes
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The subject is focused on dynamical systems modelling problematic and its using by continuous-time or discrete control design and simulation.
Student will learn and practice dynamical processes modelling and simulation possibilities in computational environment MATLAB / Simulink.
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Prerequisites
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Knowledge from the subjects Process Control I and II is supposed.
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Assessment methods and criteria
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Oral examination, Home assignment evaluation
Student must get a credit and pass an oral examination.
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Recommended literature
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Dokumentace k MATLABu - součást instalace.
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BALÁTĚ, J. Automatické řízení. Praha: BEN, nakladatelství technické literatury, 2003. BEN, 2004.
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Dušek F., Honc D. Matlab a Simulink - úvod do používání. [skriptum], Univerzita Pardubice, 2005.
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NISE, N. S. Control Systems Engineering. 4th edition, John Wiley & Sons, Inc., 2003,.
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