Analysis of Globe Convergence of Explicit GPC
Algorithm Based on State-Space Method

Wang Qian

Volume 12 Issue 2

Mar. 2010

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Article Contents

Abstract

References

Journal of Southwest Jiaotong University > 1999 > 12(2): 201-206.

GAO Feng, GUAN Bao-shu, QIU Wen-ge, WANG Ming-nian, LI Cheng-hui. Dynamic Responses of Overlapping Tunnelsto Passing Trains[J]. Journal of Southwest Jiaotong University, 2003, 16(1): 38-42.

Citation:

Wang Qian. Analysis of Globe Convergence of Explicit GPC Algorithm Based on State-Space Method[J]. Journal of Southwest Jiaotong University, 1999, 12(2): 201-206.

GAO Feng, GUAN Bao-shu, QIU Wen-ge, WANG Ming-nian, LI Cheng-hui. Dynamic Responses of Overlapping Tunnelsto Passing Trains[J]. Journal of Southwest Jiaotong University, 2003, 16(1): 38-42.

Citation:

Wang Qian. Analysis of Globe Convergence of Explicit GPC Algorithm Based on State-Space Method[J]. Journal of Southwest Jiaotong University, 1999, 12(2): 201-206.

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Analysis of Globe Convergence of Explicit GPC Algorithm Based on State-Space Method

Wang Qian

Publish Date: 25 Apr 1999

Abstract

Abstract

The global stability and convergence of the explicit GPC (generalized predictive control) based on CARMA model are proved by employing the state-equation, in which the extended least-square method is taken as the identification method. It is shown in theory that the GPC algorithm based on CARMA is better than some currently used self-tuning algorithms such as the generalized minimum-variance method and pole-placement method, and so on, because it has good stability and convergence even underweaker conditions.
- explicit methods,
- state-space method,
- convergence,
- GPC