论文信息 - A MODIFIED METHOD FOR ORDER REDUCTION OF LARGE SCALE DISCRETE SYSTEMS

A MODIFIED METHOD FOR ORDER REDUCTION OF LARGE SCALE DISCRETE SYSTEMS

In this paper, an effective procedure to determine the reduced order model of higher order linear time invariant discrete systems is discussed. A new procedure has been proposed for evaluating Time moments of the original high order system. Numerator and denominator polynomials of reduced order model are obtained by considering first few redefined time moments of the original high order system. The proposed method has been verified using numerical examples.

G Saraswathi | G. Saraswathi

[1] C. Vishwakarma,et al. Clustering Method for Reducing Order of Linear System using Pade Approximation , 2008 .

[2] Naresh K. Sinha,et al. Optimum approximation of high-order systems by low-order models† , 1971 .

[3] Naresh K. Sinha,et al. A new method for reduction of dynamic systems , 1971 .

[4] J. Amarnath,et al. A mixed method for order reduction of interval systems , 2007, 2007 International Conference on Intelligent and Advanced Systems.

[5] R. Prasad,et al. MIMO system reduction using modified pole clustering and genetic algorithm , 2009 .

[6] T. N. Lucas. Stable reduced-order models for discrete-time systems , 1987 .

[7] E. Davison,et al. On "A method for simplifying linear dynamic systems" , 1966 .

[8] G. Parmar,et al. System reduction using factor division algorithm and eigen spectrum analysis , 2007 .

[9] G. Parmar,et al. Reduced Order Modelling of Linear Dynamic Systems using Particle Swarm Optimized Eigen Spectrum Analysis , 2007 .