Development of time-limited model reduction technique for one-dimensional and two-dimensional systems with error bound via balanced structure-Reference-Cited by-同舟云学术

Development of time-limited model reduction technique for one-dimensional and two-dimensional systems with error bound via balanced structure

Published:2022-08 Issue:12 Volume:359 Page:6438-6466
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Imran Muhammad,Imran Muhammad^ORCID

Funder

National University of Sciences and Technology

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference34 articles.

1. p-th Moment exponential stability of switched discrete-time stochastic systems: a multiple Lyapunov functions method;Fan;J. Franklin Inst.,2021

2. Practical constrained output feedback formation control of underactuated vehicles via the autonomous dynamic logic guidance;Zhang;J. Franklin Inst.,2021

3. H2 optimal reduced models of general MIMO LTI systems via the cross Gramian on the Stiefel manifold;Jiang;J. Franklin Inst.,2017

4. Reduced-order filter design of T–S fuzzy stochastic systems with time-varying delay;Su;J. Franklin Inst.,2017

5. Stability preserving model reduction technique for weighted and limited interval discrete-time systems with error bound;Batool;IEEE Trans. Circuits Syst. II,2021

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3. Low-rank balanced truncation of discrete time-delay systems based on Laguerre expansions;Journal of the Franklin Institute;2024-04

4. Relative error-based time-limited H2 model order reduction via oblique projection;Journal of the Franklin Institute;2024-01

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