WSEAS Transactions on Systems
Print ISSN: 1109-2777, E-ISSN: 2224-2678
Volume 18, 2019
Investigation and Reduction of Large-Scale Dynamical Systems
Authors: ,
Abstract: We present an efficient implementation of the balance truncation approximation method for large- scale dynamical system, which a benchmark collection Inclusive of some needful real-world examples. In this paper we proposed a new procedure the reduction method based balance truncation is explored for getting structure preserving reduced order model of a large-scale dynamical system, we have considered model order reduction of higher order LTI systems. That aims at finding Error estimation and H∞ and H2 norm using Approximation of original and reduced system. Hence necessary to effortlessness the analysis of the system using approximation Algorithms. The response evaluation is considered in terms of response constraints and graphical assessments. It is reported that the different states of reduced order model compare using a numerical methods is almost alike in performance to that of with original systems. all simulation results have been obtained via MATLAB based novel software (sssMOR toolbox).
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Keywords: Benchmarks Example, reduced Order model (ROM), Error estimation, Balanced Truncation, International space station (ISS)
Pages: 175-180
WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 18, 2019, Art. #23