A fast MPC algorithm for reducing computation burden of MIMO

Rongbin Qi; Hua Mei; Chao Chen; Feng Qian

doi:10.1016/j.cjche.2015.10.008

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A fast MPC algorithm for reducing computation burden of MIMO

第25届中国过程控制会议专栏 | Updated：2026-01-06

- A fast MPC algorithm for reducing computation burden of MIMO
- Chinese Journal of Chemical Engineering Vol. 23, Issue 12, Pages: 2087-2091(2015)
- Affiliations：
  
  Key Laboratory of Advanced Control and Optimization for Chemical Process, Ministry of Education, East China University of Science and Technology,Shanghai,China,200237
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2015.10.008
  CLC：
- Published：2015
- Accepted：
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Rongbin Qi, Hua Mei, Chao Chen, Feng Qian. A fast MPC algorithm for reducing computation burden of MIMO[J]. Chin.J.Chem.Eng., 2015, 23(12): 2087-2091.
DOI：

Rongbin Qi, Hua Mei, Chao Chen, Feng Qian. A fast MPC algorithm for reducing computation burden of MIMO[J]. Chin.J.Chem.Eng., 2015, 23(12): 2087-2091. DOI： 10.1016/j.cjche.2015.10.008.

摘要

Abstract

The computation burden in themodel-based predictive control algorithmis heavywhen solving QR optimization with a limited sampling step

especially for a complicated system with large dimension. A fast algorithm is proposed in this paper to solve this problem

inwhich real-time values are modulated to bit streams to simplify the multiplication. In addition

manipulated variables in the prediction horizon are deduced to the current control horizon approximately by a recursive relation to decrease the dimension of QR optimization. The simulation results demonstrate the feasibility of this fast algorithm for MIMO systems.

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