Ling, K-V and Maciejowski, J and Wu, B-F (2005) Multiplexed model predictive control. IFAC Proceedings Volumes (IFAC-PapersOnline), 16. pp. 574-579. ISSN 1474-6670Full text not available from this repository.
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. Copyright copy; 2005 IFAC. Copyright © 2005 IFAC.
|Uncontrolled Keywords:||Constrained optimization Decentralised control Multivariable control Periodic systems Predictive control|
|Divisions:||Div F > Control|
|Depositing User:||Cron job|
|Date Deposited:||04 Feb 2015 23:03|
|Last Modified:||05 Feb 2015 07:27|