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AuthorMabrok, M.A.
AuthorMabrok, Mohamed A.
Available date2024-02-28T06:49:47Z
Publication Date2023-01-01
Publication Name2023 European Control Conference, ECC 2023
Identifierhttp://dx.doi.org/10.23919/ECC57647.2023.10178307
CitationMabrok, M. A. (2023, June). Finding the nearest negative imaginary system with application to near-optimal controller design. In 2023 European Control Conference (ECC) (pp. 1-6). IEEE.‏
ISBN9783907144084
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85166467754&origin=inward
URIhttp://hdl.handle.net/10576/52334
AbstractIn this paper, we consider the problem of robust stabilization of linear time-invariant systems with respect to unmodeled dynamics and structure uncertainties. To that end, we first present a methodology to find the nearest negative imaginary system for a given non-negative imaginary system. Then, we employ this result to construct a near optimal linear quadratic Gaussian controller achieving desired performance measures. The problem is formulated using port-Hamiltonian method and the required conditions are defined in terms of linear matrix inequalities. The technique is presented using fast gradient method to solve the problem systematically. The designed controller satisfies a negative imaginary property and guarantees a robust feedback loop. The effectiveness of the approach is demonstrated by simulation on a numerical example.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectfast gradient method
Negative imaginary systems
port-Hamiltonian system
TitleFinding the Nearest Negative Imaginary System with Application to Near-Optimal Controller Design
TypeConference Paper
Pagination1-6
dc.accessType Open Access


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