A Closed Form Solution to L₂-Sensitivity Minimization of Second-Order State-Space Digital Filters
Shunsuke Yamaki, Masahide Abe, Masayuki Kawamata
Abstract
Shunsuke Yamaki, Masahide Abe, Masayuki Kawamata
Abstract
ABSTRACT–This paper proposes a closed form solu-tion to L2-sensitivity minimization of 2nd-order state-space digital filters subject to L2-scaling constraints. The proposed solution reduces a constrained optimiza-tion problem to an unconstrained optimization problem by appropriate variable transformation. Furthermore, by restricting ourselves to the case of 2nd-order state-space digital filters, we can formulate the L2-sensitivity minimization problem via hyperbolic functions. As a result, we can express the L2-sensitivity in closed form, whose minimization subject to L2-scaling constraints is achieved without iterative calculations. 1.
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ABSTRACT–This paper proposes a closed form solu-tion to L2-sensitivity minimization of 2nd-order state-space digital filters subject to L2-scaling constraints. The proposed solution reduces a constrained optimiza-tion problem to an unconstrained optimization problem by appropriate variable transformation. Furthermore, by restricting ourselves to the case of 2nd-order state-space digital filters, we can formulate the L2-sensitivity minimization problem via hyperbolic functions. As a result, we can express the L2-sensitivity in closed form, whose minimization subject to L2-scaling constraints is achieved without iterative calculations. 1.
Key concepts: Sensitivity (control systems), Mathematics, Space (punctuation), Minification, State space, State (computer science), Computer science, Algorithm