Stable multivariable model predictive control
Heise S. A. and Maciejowski J. M.
Proceedings of the 33rd IEEE CDC, 1994Abstract
The stability of model based predictive control (MBPC) is studied in a multiple-input, multiple-output framework in the presence of active state and input constraints, and implemented in both an input-output and a state space format. The constrained generalized predictive control method of Rossiter and Kouvaritakis is extended to the multivariable case. In this approach, stability is established by demonstrating the existence of a monotonically decreasing cost function.
BibTex Entry
- @InProceedings{,
- author = {Heise S. A. and Maciejowski J. M.},
- title = {Stable multivariable model predictive control },
- address = {Florida},
- booktitle = {Proceedings of the 33rd IEEE CDC},
- year = {1994}
- }
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