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SISO Method Using Modified Pole Clustering and Simulated Annealing Algorithm

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Advances in System Optimization and Control

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 509))

Abstract

A mixed method by using the modified pole clustering technique and simulated annealing is proposed to reduce higher-order mathematical model into a smaller one. The denominator and numerator polynomials are obtained by using a modified pole clustering technique and simulated annealing algorithm, respectively. The proposed-biased method generates k number of reduced models from higher-order systems. The compatibility of the method has been checked via time responses of the original higher-order system and the reduced-order system, respectively. Also, the proposed method has been compared with few known model-order reduction techniques through performance indices.

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Author information

Authors and Affiliations

  1. EEE Department, GL Bajaj Institute of Technology and Management, Greater Noida, UP, India

    Jay Singh

  2. EE Department, Indian Institute of Technology Dhanbad, Dhanbad, Jharkhand, India

    Kalyan Chatterjee

  3. EE Department, SOE, GBU, Greater Noida, UP, India

    C. B. Vishwakarma

Authors
  1. Jay Singh
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  2. Kalyan Chatterjee
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  3. C. B. Vishwakarma
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Corresponding author

Correspondence to Jay Singh .

Editor information

Editors and Affiliations

  1. Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh, India

    Sri Niwas Singh

  2. Department of Electrical Engineering, Zhejiang University, Hangzhou, Zhejiang, China

    Fushuan Wen

  3. Department of Electrical and Electronics Engineering, I.T.S. Engineering College, Greater Noida, Uttar Pradesh, India

    Monika Jain

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Singh, J., Chatterjee, K., Vishwakarma, C.B. (2019). SISO Method Using Modified Pole Clustering and Simulated Annealing Algorithm. In: Singh, S., Wen, F., Jain, M. (eds) Advances in System Optimization and Control. Lecture Notes in Electrical Engineering, vol 509. Springer, Singapore. https://doi.org/10.1007/978-981-13-0665-5_13

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  • DOI: https://doi.org/10.1007/978-981-13-0665-5_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0664-8

  • Online ISBN: 978-981-13-0665-5

  • eBook Packages: EngineeringEngineering (R0)

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