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Model Order Reduction of Time Interval System: A Survey

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Proceedings of the Third International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 259))

Abstract

The Complexity of higher order linear systems are large and order of matrices are higher. Matrices of higher order are difficult to deal with. The main objectives of order reduction is to design a controller of lower order which can effectively control the original high order system so that the overall system is of lower order and easy to understand. Analysis and design of reduced order model becomes simpler and economic. Parametric uncertainties exist in practical systems for entire range of the operating conditions. To overcome this, time interval system is employed. This paper presents a survey on design of reduced order model for large scale time interval systems.

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Acknowledgments

Siyaram Yadav sincerely acknowledge Mr. Mahendra Kumar, Assistant professor, Mewar University, Chittorgarh (Rajasthan, India) for his kind cooperation and consistent guidance during M.Tech Program.

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Authors and Affiliations

  1. Department of Electronics Engineering, Mewar University, Gangrar, Chittorgarh, India

    Mahendra Kumar & Siyaram Yadav

  2. Department of Electronics Engineering, Amity University, Noida, India

    Aman

Authors
  1. Mahendra Kumar
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  2. Aman
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  3. Siyaram Yadav
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Correspondence to Mahendra Kumar .

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Editors and Affiliations

  1. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Millie Pant

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  3. Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  4. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

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Kumar, M., Aman, Yadav, S. (2014). Model Order Reduction of Time Interval System: A Survey. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 259. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1768-8_25

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  • DOI: https://doi.org/10.1007/978-81-322-1768-8_25

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1767-1

  • Online ISBN: 978-81-322-1768-8

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