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author:

Minghua, H. (Minghua, H..) [1] | Chong, C. (Chong, C..) [2] | Xueying, Z. (Xueying, Z..) [3]

Indexed by:

Scopus

Abstract:

The core computation load of a constrained Model Predictive Control (MPC) problem with interior point method is to solve a linear equation during every iteration. According to the specific feature from problem formulation for constrained MPC, this paper proposed a recursive rank one updating matrix inversion algorithm for solving the linear equation. This algorithm is hardware implementation oriented. Its efficiency in implementing constrained MPC is verified by FPGA implementation results. More over, some important issues related to FPGA implementation of control algorithms are also investigated and discussed. © 2006 IEEE.

Keyword:

Constrained MPC; FPGA implementation; Matrix inversion; Rank one updating

Community:

  • [ 1 ] [Minghua, H.]Faculty of Electrical Engineering and Automation, Fuzhou University, 350002 Fuzhou, Fujian Province, China
  • [ 2 ] [Chong, C.]Faculty of Electrical Engineering and Automation, Fuzhou University, 350002 Fuzhou, Fujian Province, China
  • [ 3 ] [Xueying, Z.]Faculty of Electrical Engineering and Automation, Fuzhou University, 350002 Fuzhou, Fujian Province, China

Reprint 's Address:

  • [Minghua, H.]Faculty of Electrical Engineering and Automation, Fuzhou University, 350002 Fuzhou, Fujian Province, China

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Source :

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Year: 2006

Volume: 1

Page: 733-737

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 8

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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