二阶系统的最小范数状态向量及其模型跟随自适应控制

ADAPTIVE MODEL FOLLOWING CONTROL BY USING MINIMUM NORM STATE VECTOR FOR SECOND ORDER SYSTEMS

  • 摘要: 本文提出了系统的最小范数状态向量的概念,分析了二阶单输入单输出系统的状态向量与它的最小范数状态向量的关系,并由此导出了一种利用系统的最小范数状态向量的模型跟随自适应控制算法,该算法的在线计算量较小,并同时具有良好的控制精度及鲁棒性.

     

    Abstract: In this paper,the concept of the MNS vector,i.e.,minimum norm state vector,is defined,and the relation between the state vector of a single-input single-output system and its MNS vector is analysed.And herefrom a new adaptive model following control algorithm utilizing MNS vector is proposed.Compared with the present adaptive algorithms,the on-line computation time of this one is the least.Its good control accuracy and robustness can also be assured.

     

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