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Zajištění spolehlivé činnosti adaptivního LQ regulátoru
Böhm, Josef
Adaptive LQ controllers can exhibit uncorrect behaviour at the beginning of the adaptation process. Paper presents an approach which can overcome the problem. It is proposed to operate LQ adaptive controller jointly with some fixed robust controller, typically a PID one. Using single tuning knob, it is possible to tune adaptuve controller properties from that of PID to a standard LQ controller ones.
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Graphical user interface for filter design in frequency domain
Řezáč, M. ; Holub, O. ; Augusta, Petr ; Hurák, Z.
The paper presents Matlab graphical user interface(GUI) for frequency domain design of filters and shows its application on a practical example of controller design for laboratory system with flexible arm. GUI helps to simplify the procedure of H_infty optimization based loopshaping controller design. This Metod is describe in detail e.g. in the book [Skogestad a Postlethwaite, 2005]. The method inputs are, besides the controller plant, so-called weighting filters, that represent control goals.
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Geoinformační modelování
Klimešová, Dana ; Ocelíková, E.
The contribution deals with issues that are very closely conected: Web services model, Dynamic GIS and the problem of uncertainty of spatial data. The paper shows that with the developement of the Web services architecture there is a clear trend towards GIS becoming more open, robust and interoperable.
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Řešení polynomiální rovnice založené na oboustranném řízení stupňů
Kraffer, Ferdinand
By feedback control consideartions of a good choice of the closed-loop characteristic polynomial matrix, the purpose of this contribution is to promote awareness of row-column reduced polynomial matrices, in constant to eligible but less advisable classes of polynomial matrices such as the monically diagonally degree-dominant matrices and the simultaneously row- and column reduced matrices.
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Prediktivní řízení s časově proměnnými stavovými modely.
Belda, Květoslav ; Böhm, Josef
The papres is focused on Predictive control for time-variant state-space models both SISO and MIMO type, specially on model identification/composition, further on consideration of system nonlinaerities in equations of predictions and state-space estimation. The algorithms will by presented in coputationally-efective square-root forms and demonstrated by several simulative examples with simple linear SISO systems and with one nonlinear systems represented by MIMO model of planar redundant parallel robot.
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