| 边界控制下一类系统能控性及神经网络实现 |
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| 引用本文： | 张丽华,姜丽帆.边界控制下一类系统能控性及神经网络实现[J].中山大学学报(自然科学版),1997,36(3):36-39. |
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| 作者姓名： | 张丽华 姜丽帆 |
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| 作者单位： | 湛江海洋大学(张丽华)，中山大学计算机科学系(姜丽帆) |
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| 摘 要： | 应用对耦合系统的一种分解方法，得到线性分布参数系统的状态与边界控制之间的定量关系，使得能控对城可以用显式表示出来，进而可分析系统的能控性问题．并讨论了在神经网络上实现的可能性
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| 关 键 词： | 边界控制，能控对域，神经网络 |
The Controllability for a Class of Systems under Boundary Control and the Achievable Possibility on Neural Network |
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| Zhang LihuaOcean University of Zhanjiang,Zhanjiang Jiang Lifan.The Controllability for a Class of Systems under Boundary Control and the Achievable Possibility on Neural Network[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,1997,36(3):36-39. |
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| Authors: | Zhang LihuaOcean University of Zhanjiang Zhanjiang Jiang Lifan |
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| Institution: | Zhang LihuaOcean University of Zhanjiang,Zhanjiang 524025 Jiang Lifan |
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| Abstract: | A decomposing method for coupled systems is applied to obtain the quantitative relationship between the states and boundary control for linear distributed parameter systems, where the time variant law of the control can be approximated by Fourier series. Consequently, the controllable pair region is described explicitly and the controllability problem of the system can be analyzed. Furthermore, the achievable possibility on neural network is discussed. |
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| Keywords: | boundary control controllable pair region neural network |
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