Research Article | Open Access | Download PDF
Volume 13 | Issue 4 | Year 2026 | Article Id. IJEEE-V13I4P110 | DOI : https://doi.org/10.14445/23488379/IJEEE-V13I4P110Model Order Reduction of Interval Systems in Z-Domain Using the Improvement of Simplified RAM
Nagalla Sowjanya, D. Vijaya Kumar, P. MallikarjunaRao
| Received | Revised | Accepted | Published |
|---|---|---|---|
| 20 Jan 2026 | 28 Feb 2026 | 27 Mar 2026 | 30 Apr 2026 |
Citation :
Nagalla Sowjanya, D. Vijaya Kumar, P. MallikarjunaRao, "Model Order Reduction of Interval Systems in Z-Domain Using the Improvement of Simplified RAM," International Journal of Electrical and Electronics Engineering, vol. 13, no. 4, pp. 133-139, 2026. Crossref, https://doi.org/10.14445/23488379/IJEEE-V13I4P110
Abstract
This study emphasizes an improvement method for Simplified Routh Approximation with discrete-time SISO interval systems. The diminished order model's numerator and denominator are estimated using the θ interval table. The Kharitonov polynomial is also used to verify the proposed inferred interval model's stability. The enhanced approach sustains the reduced system's stability feature if the system of high-rise order intervals is sturdy. The limitation of calculating the reciprocal transformation and inverse reciprocal transformation, observed in the very recent Advanced Routh Approximation Method, has also been avoided in the suggested procedure. To substantiate the relevance of the initiated approach, plotting of impulse and step responses for the reduced models as well as the system. A mathematical example is comprehended to elucidate the proposed method and simplified to the Simplified Routh Method, Model order in discrete time order, uncertain method, and mixed method (α and β method) of integral square error values. To obtain the results, interpret the efficacy and accuracy of this intended approach.
Keywords
Interval Analysis, Discrete Systems, Improvement of Simplified Routh Approximation Method, Kharitonov Polynomials, Model Order Diminish, Integral Square Error.
References
- M. Aoki, “Control of Large Scale Dynamic Systems by Aggregation,” IEEE Transactions on Automatic Control, vol. 13, no. 3, pp. 246-253, 1968.
[CrossRef] [Google Scholar] [Publisher Link] - Y. Shamesh, “Continued Fraction Methods for the Reduction of Linear Time-Invariant Systems,” IEE Conference Publication, no. 96, pp. 220-227, 1973.
[Publisher Link] - N.K. Sinha, and B. Kuszta, Modelling and Identification of Dyanamic Systems, Springer Dordrecht, pp. 1-334, 1983.
[Google Scholar] [Publisher Link] - Y. Shamesh, “Order Reduction of Linear Systems by Pade Approximation Method,” Doctoral Thesis, University of London, 1973.
[Google Scholar] - M. Hutton, and B. Friedland, “Routh Approximation for Reducing Order of Linear Time Invariant System,” IEEE Transaction on Automatic Control, vol. 20, no. 3, pp. 329-337, 1975.
[CrossRef] [Google Scholar] [Publisher Link] - Keith Glover, “All Optimal Hankel-Norm Approximations of Linear Multivariable Systems and their L, ∞ -Error Bounds†,” International Journal of Control, vol. 39, no. 6, pp. 1115-1119, 1984.
[CrossRef] [Google Scholar] [Publisher Link] - Eldon Hausen, “Interval Arithmetic in Matrix Computations- Part I,” Journal of the Society for Industrial and Applied Mathematics Series B Numerical Analysis, vol. 2, no. 2, pp. 308-320, 1965.
[CrossRef] [Google Scholar] [Publisher Link] - B. Bandyopadhyay, O. Ismail, and R. Gorez, “Routh- Pade Approximation for Discrete Interval Systems,” IEEE Transactions on Automatic Control, vol. 39, no. 12, pp. 2454-2456, 1994.
[CrossRef] [Google Scholar] [Publisher Link] - O. Ismail, B. Bandyopadhyay, and R. Gorez, “Discrete Interval System Reducing using Pade Approximation to Allow Retention of Dominant Poles,” IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, vol. 44, no. 11, pp. 1075-1078, 1997.
[CrossRef] [Google Scholar] [Publisher Link] - Vinay Pratap Singh, and Dinesh Chandra, “Model Reduction of Discrete Interval System using Dominant Poles Retention and Direct Series Expansion Method,” 2011 5th International Power Engineering and Optimization Conference, Shah Alam, Malaysia, pp. 27-30, 2011.
[CrossRef] [Google Scholar] [Publisher Link] - V.P. Singh, and D. Chandra, “Model Reduction of Discrete Interval System using Clustering of Poles,” International Journal of Modelling Identification and Control, vol. 17, no. 2, pp. 116-123, 2012.
[CrossRef] [Google Scholar] [Publisher Link] - A.P. Padhy, V.P. Singh, and S. Pattnaik, “On Model Reduction of Multi Input Multi Output Discrete Interval Systems,” 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), Bangalore, India, pp. 1842-1845, 2018.
[CrossRef] [Google Scholar] [Publisher Link] - Younseok Choo et al., “A Note on Discrete Interval System Reduction via Retention of Dominant Poles,” International Journal of Control, Automation and Systems, vol. 5, no. 2, pp. 208-211, 2007.
[Google Scholar] [Publisher Link] - N. Pappa, and T. Babu, “Biased Model Reduction of Discrete Interval System by Differentiation Technique,” 2008 Annual IEEE India Conference, Kanpur, India, pp. 258-261, 2008.
[CrossRef] [Google Scholar] [Publisher Link] - G.V.K.R. Sastry, and P. Mallikarjuna Rao, “A New Method for Modelling of Large Scale Interval Systems,” IETE Journal of Research, vol. 49, no. 6, pp. 423-430, 2003.
[CrossRef] [Google Scholar] [Publisher Link] - V.P. Singh, P.D. Dewangan, and S.L. Sinha, “Improved Approximation of SISO and MIMO Continuous Interval Systems,” International Journal of System Control and Information Processing, vol. 3, no. 3, pp. 246-261, 2021.
[CrossRef] [Google Scholar] [Publisher Link] - Aditya Prasad Padhy, Varsha Singh, and Vinay Pratap Singh, “Model Order Reduction of Discrete Time Uncertain System,” Journal of Information and Optimization Sciences, vol. 41, no. 2, pp. 661-668, 2020.
[CrossRef] [Google Scholar] [Publisher Link] - Kranthi Kumar Deveraetty, and S.K. Nagar, “Mixed Methods for Reducing the Order of a Linear Discrete Time Interval System,” Proceedings of International Conference on Advances in Computing, Communication and Information Technology, pp. 49-53, 2014.
[CrossRef] [Google Scholar] [Publisher Link] - V.L. Kharitonov, “Asymptotic Stability of an Equilibrium Position of a Family of Systems of Linear Differential Equations,” Differential Uravneniya, vol. 14, pp. 2086-2088, 1978.
[Google Scholar] - Praveen Kumar, Pankaj Rai, and Amit Kumar Choudhary, “Order Reduction of z-Domain Interval Systems by Advanced Routh Approximation Method,” Circuits, Systems, and Signal Processing, vol. 43, pp. 6911-6930, 2024.
[CrossRef] [Google Scholar] [Publisher Link]