Low-Parametric-Sensitivity Realizations With Relaxed L-2-Dynamic-Range-Scaling Constraints

[摘要]：This brief presents a new dynamic-range scaling for the implementation of filters/controllers in state-space form. Relaxing the classical L-2-scaling constraints by specific fixed-point considerations allows for a higher degree of freedom for the optimal L-2-parametric sensitivity problem. However, overflows in the implementation are still prevented. The underlying constrained problem is converted into an unconstrained problem for which a solution can be provided. This leads to realizations that are still scaled but less sensitive.

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