Reduced Order Modelling of Linear Dynamic Systems using Particle Swarm Optimized Eigen Spectrum Analysis

  title={Reduced Order Modelling of Linear Dynamic Systems using Particle Swarm Optimized Eigen Spectrum Analysis},
  author={G. Parmar and Shaunak Mukherjee and Ranga Prasad},
The authors present an algorithm for order reduction of linear time invariant dynamic systems using the combined advantages of the eigen spectrum analysis and the error minimization by particle swarm optimization technique. Pole centroid and system stiffness of both original and reduced order systems remain same in this method to determine the poles, whereas zeros are synthesized by minimizing the integral square error in between the transient responses of original and reduced order models… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 31 references

Model reduction using the Routh stability criterion

  • V. Krishnamurthy, V. Seshadri
  • IEEE Trans. Automat. Control,
  • 1978
Highly Influential
4 Excerpts

Order reduction of large scale second-order systems using Krylov subspace methods

  • B. Salimbahrami, B. Lohmann
  • Linear Algebra Appl., Vol. 415, pp. 385-405
  • 2006
1 Excerpt

Satakshi and R.C.Mittal, “Model order reduction using response-matching technique

  • S. Mukherjee
  • Journal of Franklin Inst.,
  • 2005

Reduction of linear dynamic systems using an error minimization technique

  • A. K. Mittal, R. Prasad, S. P. Sharma
  • Journal of Institution of Engineers IE(I) Journal…
  • 2004
1 Excerpt

Particle swarm optimization: developments

  • R. C. Eberhart, Y. Shi
  • applications and resources”, Congress on…
  • 2001
1 Excerpt

Swarm intelligence

  • J. Kennedy, R. C. Eberhart
  • San Francisco: Morgan Kaufmann Publishers
  • 2001
1 Excerpt

Particle swarm optimization

  • J. Kennedy, R. C. Eberhart
  • IEEE Int. Conf. on Neural Networks, IV, 1942-1948…
  • 1995
1 Excerpt

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