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- W3107581600 abstract "This paper presents the design and the implementation of a model predictive control with multiple control inputs for a nonlinear hydrostatic transmission system and aims at an accurate tracking control of desired output trajectories under disturbances and uncertainties. The optimal control design is based on a moving horizon optimization using Newton-Raphson techniques. State variables and system disturbances are reconstructed by an unscented Kalman filter. The proposed control is investigated by simulations and experimentally validated at a dedicated test rig at the Chair of Mechatronics, University of Rostock. The robustness of the proposed control structure is indicated by a high tracking accuracy despite system disturbances and model uncertainty." @default.
- W3107581600 created "2020-12-07" @default.
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- W3107581600 date "2020-10-08" @default.
- W3107581600 modified "2023-09-25" @default.
- W3107581600 title "Real-Time Implementation of Model Predictive Multivariable Tracking Control for Hydrostatic Transmissions" @default.
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- W3107581600 doi "https://doi.org/10.1109/icstcc50638.2020.9259704" @default.
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