| 基于状态空间方法的显式GPC算法全局收敛性分析 |
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| 引用本文： | 王倩. 基于状态空间方法的显式GPC算法全局收敛性分析[J]. 西南交通大学学报, 1999, 34(2): 201-206 |
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| 作者姓名： | 王倩 |
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| 作者单位： | 西南交通大学铁道电气化自动化研究所 |
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| 摘 要： | 采用状态方程的方法给出了基于ＣＡＲＭＡ模型的显式，ＧＰＣ算法的稳定性及收生证明，辨识算法采用增广最小二乘法。
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| 关 键 词： | 显式算法 状态空间法 全局收敛性 广义预测控制 |
Analysis of Globe Convergence of Explicit GPC Algorithm Based on State Space Method |
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| Wang Qian. Analysis of Globe Convergence of Explicit GPC Algorithm Based on State Space Method[J]. Journal of Southwest Jiaotong University, 1999, 34(2): 201-206 |
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| Authors: | Wang Qian |
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| 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 under weaker conditions. |
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| Keywords: | explicit methods state space method convergence GPC |
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