2005Unpublished venueRequires access

A Closed Form Solution to L₂-Sensitivity Minimization of Second-Order State-Space Digital Filters

Shunsuke Yamaki, Masahide Abe, Masayuki Kawamata

Open publisher page 5 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Sensitivity (control systems), Mathematics, Space (punctuation), Minification, State space, State (computer science), Computer science, Algorithm

Related papers

Back to paper searchBrowse research topicsOriginal source
A Closed Form Solution to L₂-Sensitivity Minimization of Second-Order State-Space Digital Filters — Research Paper | ScholarLens