doi: 10.7763/IJET.2011.V3.201
Order Reduction of Linear System Using Clustering, Integral Square Minimization and Dominant Pole Technique
- 1 Department of Electronics and Communication Engineering, Lucknow Institute of Technology and Management, Lucknow, Uttar Pradesh, India
- 2 Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India
- 3 Integral University, Lucknow, Uttar Pradesh, India
Abstract
A mixed method is proposed for finding stable reduced order models of single-input- single-output large-scale systems using integral square error (ISE) minimization techniques, the clustering technique and retaining one or more dominant pole. The denominator polynomial of the reduced order model is determined by forming the clusters of the poles of the original system and retaining one or more dominant pole, and the coefficients of numerator polynomial are obtained by using the integral square error minimization technique. This method guarantees stability of the reduced order model when the original high order system is stable. The methodology of the proposed method is illustrated with the help of examples from literature.
Keywords
- Clustering technique
- Order reduction
- ISE
- dominant pole
- Stability
- Transfer function
How to Cite
S. K. Agrawal, Dinesh Chandra, and Irfan Ali Khan, "Order Reduction of Linear System Using Clustering, Integral Square Minimization and Dominant Pole Technique," International Journal of Engineering and Technology, vol. 3, no. 1, pp. 64-67, 2011. https://doi.org/ 10.7763/IJET.2011.V3.201
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).