Model Reduction for Linear and Nonlinear Control Systems

Model Reduction for Linear and Nonlinear Control Systems
复制标题

线性和非线性控制系统的模型简化

DOI:
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发表时间:
2006
期刊:
Proceedings of the 45th IEEE Conference on Decision and Control
影响因子:
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通讯作者:
A. Krener
A. Krener
中科院分区:
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文献类型:
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作者:
A. Krener

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随着世界变得越来越复杂,控制系统也变得越来越复杂。对于用高维模型描述的复杂系统来说,很难模拟和/或发展直觉,所以已经开发了工具来用低维模型来近似高维模型。这种近似的一个目标可能是低维模型的输入到输出映射应该是高维模型的输入到输出映射的良好近似。另一个目标可能是,为低维模型设计的控制器应该对高维模型具有令人满意的性能。
As the world grows more complicated so do control systems. In can be very hard to simulate and/or to develop intuition for a complex system described by a high dimensional model so tools have been developed to approximate a high dimensional model by a lower dimensional one. One goal of such an approximation could be that the input to output map of the lower dimensional model should be a good approximation to that of higher dimensional one. Another goal could be that a controller designed for the lower dimensional model should perform satisfactorily for the higher dimensional one.