| 基于CARIMA模型的全局收敛的多变量随机自适应控制算法 |
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| 引用本文： | 柴天佑.基于CARIMA模型的全局收敛的多变量随机自适应控制算法[J].控制理论与应用,1990,7(4):15-20. |
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| 作者姓名： | 柴天佑 |
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| 作者单位： | 东北工学院自控系 沈阳 |
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| 基金项目： | the National Natural Science Foundation of China |
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| 摘 要： | 本文针对多变量受控自回归积分滑动平均模型(CARIMA)提出了新的直接随机自适应控制算法,该算法不仅能鲁棒抑制任何定常负荷干扰而且应用于非最小相位系统仍具有全局收敛性,该算法不要求事先知道系统的关联矩阵只要求知道关联矩阵的整值参数。
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| 关 键 词： | CARIMA模型 自适应控制 算法 随机 |
| 收稿时间： | 1988/9/27 0:00:00 |
| 修稿时间： | 1989/9/30 0:00:00 |
A Globally Convergent Multivariable Stochastic Adaptive Control Algorithm Based on CARIMA |
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| Chai Tianyou.A Globally Convergent Multivariable Stochastic Adaptive Control Algorithm Based on CARIMA[J].Control Theory & Applications,1990,7(4):15-20. |
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| Authors: | Chai Tianyou |
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| Affiliation: | Chai TianyouDepartment of Automatic Control,Northeast University of Technology,Shenyang. |
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| Abstract: | In this paper a novel stochastic direct adaptive control algorithm for multivariable linear systems described by a Controlled Autoregressive Integrating Moving Average (CARIMA) model is proposed. This scheme not only ensures the robust offset rejection for any constant load disturbance acting on the plant but also has globally convergent properties even for nonminimum systems. In particular,it requires only knowledge of the integer valued parameters of the system interacted matrix. |
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| Keywords: | stachastic multivariable systems system interactor global convergence load disturbance |
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