| 一类非线性多变量系统的多模型自适应解耦控制 |
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| 引用本文： | 富月, 柴天佑,岳恒.一类非线性多变量系统的多模型自适应解耦控制[J].控制与决策,2006,21(2):139-0142. |
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| 作者姓名： | 富月 柴天佑 岳恒 |
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| 作者单位： | 东北大学,自动化研究中心,沈阳,110004 |
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| 基金项目： | 国家973计划项目（2002CB312201）;国家863计划项目（2004AA412030）. |
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| 摘 要： | 针对一类多变量离散时间非线性动态系统。分别设计线性鲁棒自适应解耦控制律和神经网络非线性自适应解耦控制律．根据指定的性能指标，通过它们之间的切换对系统进行控制．理论分析和仿真结果表明，该控制策略不但可以保证闭环系统BIBO稳定，而且能够改善系统的性能．
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| 关 键 词： | 多模型 自适应 解耦 神经网络 切换 |
| 文章编号： | 1001-0920（2006）02-0139-04 |
| 收稿时间： | 2004-07-19 |
| 修稿时间： | 2004-07-192005-02-25 |
Multiple Models Adaptive Decoupling Control for a Class of Nonlinear Multivariable Systems |
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| FU Yue,CHAI Tian-you,YUE Heng.Multiple Models Adaptive Decoupling Control for a Class of Nonlinear Multivariable Systems[J].Control and Decision,2006,21(2):139-0142. |
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| Authors: | FU Yue CHAI Tian-you YUE Heng |
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| Affiliation: | Research Center of Automation, Northeastern University, Shenyang 110004, China |
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| Abstract: | A linear robust adaptive decoupling control law and a neural network nonlinear adaptive decoupling control law are designed respectively for a class of multivariable discrete time nonlinear dynamic systems. Via switching between these control laws by a suitably defined switching law, the system is controlled. Theory analysis and simulation results show that by using the control scheme, the BIBO stability of the closed-loop system and the improved performance can be achieved simultaneously. |
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| Keywords: | Multiple models Adaptive Decoupling Neural network Switching |
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