Multiplexed model predictive control
Ling K.V. and Maciejowski J.M. and Wu B.
16th IFAC World Congress, July 2005Abstract
Most academic control schemes for MIMO systems assume all the
control variables are updated simultaneously. MPC outperforms
other control strategies through its ability to deal with
constraints. This requires on-line optimization, hence
computational complexity can become an issue when applying MPC to
complex systems with fast response times. The multiplexed MPC
scheme described in this paper solves the MPC problem for each
subsystem sequentially, and updates subsystem controls as soon as
the solution is available, thus distributing the control moves
over a complete update cycle. The resulting computational speed-up
allows faster response to disturbances, and hence improved
performance, despite finding sub-optimal solutions to the original
problem. The multiplexed MPC scheme is also closer to industrial
practice in many cases. This paper presents initial stability
results for two variants of multiplexed MPC, and illustrates the
performance benefit by an example.
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BibTex Entry
- @InProceedings{,
- author = {Ling K.V. and Maciejowski J.M. and Wu B.},
- title = {Multiplexed model predictive control},
- address = {Prague},
- booktitle = {16th IFAC World Congress},
- month = {July},
- year = {2005}
- }
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