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- W2344656379 abstract "For linear systems with integer inputs, the model predictive control problem with output reference tracking is formulated as an integer least-squares (ILS) problem. The ILS problem is solved using a modified sphere decoding algorithm, which is a particular branch-and-bound method. To reduce the computational complexity of the sphere decoder, a reduction algorithm is added as a preprocessing stage to reshape the search space in which the integer solution lies. The computational complexity of the proposed algorithm is modest, enabling its implementation in a real-time system even when considering long prediction horizons. A variable-speed drive system with a three-level voltage source inverter serves as an illustrative example to demonstrate the effectiveness of the proposed algorithm." @default.
- W2344656379 created "2016-06-24" @default.
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- W2344656379 date "2016-07-01" @default.
- W2344656379 modified "2023-10-13" @default.
- W2344656379 title "A Computationally Efficient Model Predictive Control Strategy for Linear Systems With Integer Inputs" @default.
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- W2344656379 doi "https://doi.org/10.1109/tcst.2015.2501348" @default.
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