Abstract
An IIR filter design algorithm in the state space model is presented. The methods of principal component analysis and balanced realisation are employed to solve the design problem so that the designed filter in state space form achieves minimum sensitivity to parameter variation and/or roundoff noise. Two design examples are also presented to indicate the advantages.
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