. "Advances in Robotics, Mechatronics and Circuits" . . . . "Santorini Island" . . "RIV/70883521:28140/14:43872519" . "978-1-61804-242-2" . "Modelling and Control of Water Tank Model"@en . . "Dost\u00E1l, Petr" . "V" . "[8D27220989B0]" . "Modelling and Control of Water Tank Model" . "Italian Association of Robotics and Automation" . . . . . "The paper is focused on the description of the procedure from the modelling and simulation to the adaptive control of model of the water tank as a part of the Process Control Teaching system PCT40. First, the mathematical model of the water tank is derived with the use of material balance inside and the resulting nonlinear ordinary differential equation is solved numerically with the use of the mathematical software Matlab. Results from the steady-state and dynamic analyses are then used for the choice of the optimal working point and the choice of the External Linear Model for the control. The adaptive approach here uses polynomial approach, recursive identification and pole-placement method with spectral factorization. Resulted controller has one tuning parameter \u2013 position of the root inside the closed loop and the choice of this root affects mainly the speed of the control and the overshoots."@en . "Modelling and Control of Water Tank Model"@en . "Recursive Identification; Pole-placement Method; Mathematical Model; Adaptive Control; Water Tank"@en . . "6"^^ . . "Modelling and Control of Water Tank Model" . . . "The paper is focused on the description of the procedure from the modelling and simulation to the adaptive control of model of the water tank as a part of the Process Control Teaching system PCT40. First, the mathematical model of the water tank is derived with the use of material balance inside and the resulting nonlinear ordinary differential equation is solved numerically with the use of the mathematical software Matlab. Results from the steady-state and dynamic analyses are then used for the choice of the optimal working point and the choice of the External Linear Model for the control. The adaptive approach here uses polynomial approach, recursive identification and pole-placement method with spectral factorization. Resulted controller has one tuning parameter \u2013 position of the root inside the closed loop and the choice of this root affects mainly the speed of the control and the overshoots." . "2014-07-17+02:00"^^ . . "2"^^ . "Vojt\u011B\u0161ek, Ji\u0159\u00ED" . . "28140" . . "2"^^ . . "RIV/70883521:28140/14:43872519!RIV15-MSM-28140___" . "29866" .