Validation and Improvement for a Closed-Loop H∞ Filter Algorithm Based on Simplified Adaptive Control
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Graphical Abstract
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Abstract
A closed-loop H∞ filter algorithm based on the simplified adaptive control (SAC) method is improved by using the fixed integral variable. The filter enhances the dynamic tracking properties of the traditional H∞ filters and ensures the stability of the algorithm. And the robustness principle of the new filter is also analyzed. The modeling simulation and the comparative analysis show that the proposed H∞ filter can enhance dynamic character, reduce noise's sensibility and has higher accuracy than the normal H∞ filters when there are modeling errors or when the stochastic characteristic of the system model is unknown.
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