Eigenvalue-based Algorithms for Testing Negative Imaginariness of Scalar Transfer Functions

Mei Liu, Kai Feng, Alexander Lanzon

Research output: Contribution to journalArticlepeer-review

Abstract

This paper proposes several algorithms based on eigenvalue computations for testing negative imaginariness of scalar transfer functions of single-input single-output time invariant linear systems. The input of the proposed igenvalue based algorithms can be any state-space realization, not necessarily minimal. The algorithms can test negative imaginariness of descriptor systems whose transfer functions may be non-proper, and only involve eigenvalues computation of matrices or matrix pencils with fewer restrictions. Finally, illustrative examples are
provided to show how the proposed eigenvalue-based algorithms are applied for negative imaginariness test.
Original languageEnglish
JournalIEEE Transactions on Automatic Control
Publication statusAccepted/In press - 1 Jun 2025

Keywords

  • negative imaginariness
  • non-proper transfer functions
  • state-space realization
  • eigenvalue computations

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