The lifting technique is now a well recognized tool for H∞ design and analysis of sampleddata systems. However, the efficiency of the method depends on the structure of the problem. The structure of the Ho sensitivit...The lifting technique is now a well recognized tool for H∞ design and analysis of sampleddata systems. However, the efficiency of the method depends on the structure of the problem. The structure of the Ho sensitivity problem is analyzed in this paper. And the constraints on the H∞-optimization problem and on the design parameters in lifting design are also discussed. Under such constraints the resulting performance from the design is generally low. Therefore, the lifting technique can not be recommended as a synthesis tool for the sampled-data systems. An example is also given in the paper.展开更多
文摘The lifting technique is now a well recognized tool for H∞ design and analysis of sampleddata systems. However, the efficiency of the method depends on the structure of the problem. The structure of the Ho sensitivity problem is analyzed in this paper. And the constraints on the H∞-optimization problem and on the design parameters in lifting design are also discussed. Under such constraints the resulting performance from the design is generally low. Therefore, the lifting technique can not be recommended as a synthesis tool for the sampled-data systems. An example is also given in the paper.
