A novel approach to L2-sensitivity minimization of digital filters subject to L2-scaling constraints
نویسندگان
چکیده
This paper proposes a novel approach to L2sensitivity minimization problem of state-space digital filters subject to L2-scaling constraints. The proposed approach reduces the constrained optimization problem to an unconstrained optimization problem by appropriate variable transformation. As a result, iterative algorithms for the L2-sensitivity minimization without L2-scaling constraints can be applied to the L2-sensitivity minimization subject to L2-scaling constraints. Our novel approach can achieve the L2-sensitivity minimization with quite faster convergence behavior.
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