Improving City Traffic Using Goal-Oriented Automotive Suspension Tuning with the Sub-Gramian Method

Dmitry E. Kataev; Evgeniy Y. Kutyakov; Yuri Vershinin

doi:10.1007/978-3-031-05516-4_5

Improving City Traffic Using Goal-Oriented Automotive Suspension Tuning with the Sub-Gramian Method

Dmitry E. Kataev, Evgeniy Y. Kutyakov, Yuri Vershinin

Russian Academy of Sciences

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The simplest version of the sub-Gramian method is based on the spectral decomposition of a square H2 norm of the transfer function. This case applies when a system can be described as an LTI dynamic one and therefore has a corresponding algebraic Lyapunov equation.

Original language	English
Title of host publication	Technologies for Smart Cities
Editors	Yuri A. Vershinin, Fedor Pashchenko, Cristina Olaverri-Monreal
Publisher	Springer International Publishing
Chapter	5
Pages	61-71
Number of pages	11
Edition	1
ISBN (Electronic)	9783031055164
ISBN (Print)	9783031055157, 9783031055188
DOIs	https://doi.org/10.1007/978-3-031-05516-4_5
Publication status	Published - 19 Aug 2022

ASJC Scopus subject areas

General Engineering
General Computer Science

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10.1007/978-3-031-05516-4_5

Cite this

Improving City Traffic Using Goal-Oriented Automotive Suspension Tuning with the Sub-Gramian Method. / Kataev, Dmitry E.; Kutyakov, Evgeniy Y.; Vershinin, Yuri.
Technologies for Smart Cities. ed. / Yuri A. Vershinin; Fedor Pashchenko; Cristina Olaverri-Monreal. 1. ed. Springer International Publishing, 2022. p. 61-71.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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Improving City Traffic Using Goal-Oriented Automotive Suspension Tuning with the Sub-Gramian Method

Abstract

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