Multiplexed model predictive control
Ling K. V. and Maciejowski J. M. and Wu B. F.
July 2006
Technical Report: CUED/F-INFENG/TR.561
Abstract
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, which may result in
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 multiplexed MPC.
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BibTex Entry
- @TechReport{,
- author = {Ling K. V. and Maciejowski J. M. and Wu B. F.},
- institution = {Cambridge University Engineering Dept},
- title = {Multiplexed model predictive control},
- year = {2006},
- month = {July},
- note = {CUED/F-INFENG/TR.561},
- type = {Technical Report}
- }
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