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Modal analysis is generally performed for computation of complex Finite Element models. In other disciplines, different techniques for Model Order Reduction have been developed in the previous two decades. This paper present the recent algorithmic advantages that lead to model order reduction methods that are applicable to finite element models. Efficiency of the proposed balance truncation approximation...
In order reduction, complex systems are approximated by comparatively lower order models by retaining the inherent features of the original systems. The main objective is to design a low order controller with lesser number of states to control the higher order system effectively. In this work, the well established balanced realization technique, with frequency weights, is applied for the order reduction...
In this work, fractional order modeling as well as integer order modelling of continuous multi-input multi-output (MIMO) system is presented. The parameters of reduced order model (ROM) are obtained by minimizing the objective function which is formed in terms of integral-square-error (ISE) pertaining to step input. In this method the transfer matrix of a MIMO system is considered and PSO has been...
A Routh-Pade approximation method is presented for obtaining stable reduced order model of 2-D non-separable-denominator discrete-time system. The proposed method preserves initial power-series-expansion-coefficients/Markov-parameters of the system as well as minimizes the errors between a set of subsequent power-series-expansion-coefficients and/or Markov-parameters of the 2-D system and those of...
For original article by D. Wang and A. Zilouchian, see ibid vol. 47, no. 6, p. 830-37, Jun. 2000. This note gives the correction to a few mistakes in the aforementioned paper. It is also found that the derived reduced model (fourth-order) is unstable
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