Showing papers on "Model order reduction published in 1984"
01 Jan 1984
TL;DR: In this paper, a review of frequency domain model reduction methods for continuous-time, linear, time-invariant, SISO systems is presented, with particular attention paid to the Maehly's method, which often produces satisfactory results but does not entail matching the first terms of the Che byshev expansions of the original and reduced-order functions.
Abstract: Frequency-domain model reduction methods for continuous-time, linear, time-invariant, SISO systems are critically reviewed. Particular attention is given to the Maehly's method which often produces satisfactory results but does not entail matching the first terms of the Che byshev expansions of the original and reduced-order functions. The problem is then formulated in a way that allows us to suggest other reduction procedures; to these a method already adopted by the authors with some success may be related. Finally, the relative merits of the considered methods are compared with reference to a numerical example.
4 citations
DOI•
01 Mar 1984TL;DR: This paper tests the performance of both a pole truncation technique and a method of conc-catenting poles in reducing a tenth order analytical model of an electrode position controller to third order.
Abstract: The availability of fast interactive digital simulation to test the accuracy of low-order models has greatly increased the viability of trying simple methods of model order reduction. This paper tests the performance of both a pole-truncation technique and a method of concatenating poles in reducing a tenth-order analytical model of an electrode position controller to third order.
3 citations
06 Jun 1984
TL;DR: The LQG theory is applied to this reduced order model in order to obtain a decentralized proportional plus integral control law for reducing the frequency deviations in an interconnected power system to zero.
Abstract: The paper is concerned with the problem of decentralized control of interconnected systems subjected to stochastic disturbances. It is proposed that an equivalent reduced order dynamic model be first obtained for the subsystem of interest. For this, a dynamic equivalent of the other subsystems is identified using the interaction measurements. This model is then adjoined with the model of the subsystem in order to obtain a reduced order model. The LQG theory is then applied to this reduced order model in order to obtain a decentralized proportional plus integral control law for reducing the frequency deviations in an interconnected power system to zero. The results are illustrated numerically for a four area system.