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National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 
Prediktivní řízení pro mechatronické laboratorní modely
 Belda, Květoslav
The paper deals with the design of discrete adaptive model-based predictive control for simple mechatronic systems. Simple mechatronic systems are considered as Single-Input/Single-Output systems or possibly systems with low number of inputs and outputs. However, the methods of adaptation and model-based control are not generally limited to this condition. In the paper, a combination of on-line identification and generalized predictive control will be introduced. The identification is based on least squares. The predictive control arises from state-space formulation. This idea is applied to ARX models representing Input/Output formulation. The presented algorithms are derived in computationally suitable square-root form and their correctness is documented by tests on laboratory models.
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